Scientific Work Using or Referencing ELKI

Over the years, ELKI has been increasingly cited/used in scientific publications and other software projects.

The following list is automatically generated from very heterogenous sources, and may contain errors. Where possible, we try to use metadata from DBLP, CrossRef.org, OpenCitations, SemanticScholar, Microsoft Academic Search, and HTML meta headers from the publisher web pages. For theses, seminar articles etc. this approach does however not work. We have not verified every citation discovered by the bot.

2023

Shiyuan Fu, Xin Gao, Baofeng Li, Bing Xue, Xin Jia, Zijian Huang, Guangyao Zhang, and Xu Huang (2023). Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models. Neural Process. Lett. 55(3), 3429-3470, 10.1007/s11063-022-11017-y, BibTeX
Yijun Zhang, Han Bao, Lingsen Meng, and Yosuke Aoki (2023). Understanding and Mitigating the Spatial Bias of Earthquake Source Imaging With Regional Slowness Enhanced Back‐Projection. Journal of Geophysical Research: Solid Earth 128(5), American Geophysical Union (AGU), 10.1029/2022JB025525
Furkan Gözükara, and Selma Ayse Özel (2023). An Incremental Hierarchical Clustering Based System For Record Linkage In E-Commerce Domain. Comput. J. 66(3), 581-602, 10.1093/COMJNL/BXAB179, BibTeX
Naiyao Liang, Zuyuan Yang, and Shengli Xie (2023). Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion. IEEE Trans. Knowl. Data Eng. 35(6), 6504-6511, 10.1109/TKDE.2022.3171911, BibTeX
Guosheng Cui, Ruxin Wang, Dan Wu, and Ye Li (2023). Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization. IEEE Trans. Knowl. Data Eng. 35(8), 8126-8142, 10.1109/TKDE.2022.3202561, BibTeX
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, and Philip S. Yu (2023). Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2), 973-986, 10.1109/TNNLS.2021.3104846, BibTeX
Huawen Liu, Xiaodan Xu, Enhui Li, Shichao Zhang, and Xuelong Li (2023). Anomaly Detection With Representative Neighbors. IEEE Trans. Neural Networks Learn. Syst. 34(6), 2831-2841, 10.1109/TNNLS.2021.3109898, BibTeX
Sanjay Kumar Anand, and Suresh Kumar (2023). Experimental Comparisons of Clustering Approaches for Data Representation. ACM Comput. Surv. 55(3), 45:1-45:33, 10.1145/3490384, BibTeX
Viet-Vu Vu, Byeongnam Yoon, Dinh-Lam Pham, Hong-Quan Do, Hai-Minh Nguyen, Tran-Chung Dao, Thi-Hai-Yen Nguyen, Doan-Vinh Tran, Thi-Huong-Ly Nguyen, and Viet-Thang Vu (2023). Density peak clustering evaluation. ICACT, 126-129, IEEE, 10.23919/ICACT56868.2023.10079561, BibTeX
Jun Zhao, Wenyu Rong, and Di Liu (2023). Urban Agglomeration High-Speed Railway Backbone Network Planning: A Case Study of Beijing-Tianjin-Hebei Region, China. Sustainability 15(8), 6450, Mdpi Ag, 10.3390/su15086450
Nuno Fachada, and Diogo de Andrade (2023). Generating Multidimensional Clusters With Support Lines. CoRR abs/2301.10327, 10.48550/arXiv.2301.10327, BibTeX
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, and Michael R. Lyu (2023). Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520, 10.48550/arXiv.2302.09520, BibTeX
Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, and Leman Akoglu (2023). From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management. CoRR abs/2304.03368, 10.48550/arXiv.2304.03368, BibTeX
Roel Bouman, Zaharah Bukhsh, and Tom Heskes (2023). Unsupervised anomaly detection algorithms on real-world data: how many do we need?. CoRR abs/2305.00735, 10.48550/arXiv.2305.00735, BibTeX
Kingsley Ukoba, and Tien-Chien Jen (2023). Biochar and Application of Machine Learning: A Review. Biochar - Productive Technologies, Properties and Applications, IntechOpen, 10.5772/intechopen.108024
Héctor Díaz Beltrán (2023). Python implementation of an unsupervised learning algorithm: leveraged affinity propagation (Implementación Python de un algoritmo de aprendizaje no supervisado: propagación de afinidades ligera). Universidad de Oviedo

2022

Franco M. Zanotto, Diana Zapata Dominguez, Elixabete Ayerbe, Iker Boyano, Christine Burmeister, Marc Duquesnoy, Marlene Eisentraeger, Jonathan Florez Montaño, Alfonso Gallo‐Bueno, Lukas Gold, Florian Hall, Nicolaj Kaden, Bernhard Muerkens, Laida Otaegui, Yvan Reynier, Simon Stier, Matthias Thomitzek, Artem Turetskyy, Nicolas Vallin, Jacob Wessel, Xukuan Xu, Jeyhun Abbasov, and Alejandro A. Franco (2022). Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities. Batteries & Supercaps 5(9), Wiley, 10.1002/batt.202200224
Aurora Esteban, Amelia Zafra, and Sebastián Ventura (2022). Data mining in predictive maintenance systems: A taxonomy and systematic review. WIREs Data Mining Knowl. Discov. 12(5), 10.1002/widm.1471, BibTeX
Evgeniya Tsarkova (2022). Technical Diagnostics of Equipment Using Data Mining Technologies. Lecture Notes in Networks and Systems, 1613-1622, Springer, 10.1007/978-3-030-96380-4_178
Anh T. Dang, Raneem Qaddoura, Ala’ M. Al-Zoubi, Hossam Faris, and Pedro A. Castillo (2022). EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python. EvoApplications, 77-92, Springer, 10.1007/978-3-031-02462-7_6, BibTeX
Benjamin Ertl, Matthias Schneider, Jörg Meyer, and Achim Streit (2022). A Novel Semi-supervised Clustering Algorithm: CoExDBSCAN. Knowledge Discovery, Knowledge Engineering and Knowledge Management, 1-21, Springer, 10.1007/978-3-031-14602-2_1
Erich Schubert (2022). Automatic Indexing for Similarity Search in ELKI. SISAP, 205-213, Springer, 10.1007/978-3-031-17849-8_16, BibTeX
Erik Thordsen, and Erich Schubert (2022). On Projections to Linear Subspaces. SISAP, 75-88, Springer, 10.1007/978-3-031-17849-8_7, BibTeX
Sven Hertling, and Heiko Paulheim (2022). DBkWik++- Multi Source Matching of Knowledge Graphs. KGSWC, 1-15, Springer, 10.1007/978-3-031-21422-6_1, BibTeX
Luiz Henrique dos Santos Fernandes, Kate Smith-Miles, and Ana Carolina Lorena (2022). Generating Diverse Clustering Datasets with Targeted Characteristics. BRACIS (1), 398-412, Springer, 10.1007/978-3-031-21686-2_28, BibTeX
Swaroop Chigurupati, K. Raja, and M. S. Babu (2022). An Extensive Survey on Outlier Prediction Using Mining and Learning Approaches. Lecture Notes on Data Engineering and Communications Technologies, 593-610, Springer, 10.1007/978-981-16-9605-3_40
Franka Bause, Erich Schubert, and Nils M. Kriege (2022). EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Min. Knowl. Discov. 36(5), 1728-1755, 10.1007/s10618-022-00850-3, BibTeX
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, and Klemens Böhm (2022). Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111(4), 1349-1375, 10.1007/s10994-022-06149-0, BibTeX
Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, and Xiaofeng Zhu (2022). Robust self-tuning multi-view clustering. World Wide Web 25(2), 489-512, 10.1007/s11280-021-00945-9, BibTeX
Bahaeddin Turkoglu, Sait Ali Uymaz, and Ersin Kaya (2022). Clustering analysis through artificial algae algorithm. Int. J. Mach. Learn. Cybern. 13(4), 1179-1196, 10.1007/s13042-022-01518-6, BibTeX
Durgesh Samariya, and Jiangang Ma (2022). A New Dimensionality-Unbiased Score for Efficient and Effective Outlying Aspect Mining. Data Sci. Eng. 7(2), 120-135, 10.1007/s41019-022-00185-5, BibTeX
Tripti Sharma, Sujata Mohapatra, Rasmita Dash, Biswabhusan Rath, and Chita Ranjan Sahoo (2022). Recent advances in CADD. Computer Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches, 231-281, Elsevier, 10.1016/B978-0-323-90608-1.00004-6
Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, and Bijan Raahemi (2022). Subspace-based outlier detection using linear programming and heuristic techniques. Expert Syst. Appl. 207, 117955, 10.1016/j.eswa.2022.117955, BibTeX
Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, and Shiping Wang (2022). Diversity embedding deep matrix factorization for multi-view clustering. Inf. Sci. 610, 114-125, 10.1016/j.ins.2022.07.177, BibTeX
Jiayi Tang, and Hui Feng (2022). Robust local-coordinate non-negative matrix factorization with adaptive graph for robust clustering. Inf. Sci. 610, 1058-1077, 10.1016/j.ins.2022.08.023, BibTeX
Shahin Pourbahrami, and Mahdi Hashemzadeh (2022). A geometric-based clustering method using natural neighbors. Inf. Sci. 610, 694-706, 10.1016/j.ins.2022.08.047, BibTeX
Andreas Lang, and Erich Schubert (2022). BETULA: Fast clustering of large data with improved BIRCH CF-Trees. Inf. Syst. 108, 101918, 10.1016/j.is.2021.101918, BibTeX
Erik Thordsen, and Erich Schubert (2022). ABID: Angle Based Intrinsic Dimensionality - Theory and analysis. Inf. Syst. 108, 101989, 10.1016/j.is.2022.101989, BibTeX
Kareem Kamal A. Ghany, Amr Mohamed AbdelAziz, Taysir Hassan A. Soliman, and Adel Abu El-Magd Sewisy (2022). A hybrid modified step Whale Optimization Algorithm with Tabu Search for data clustering. J. King Saud Univ. Comput. Inf. Sci. 34(3), 832-839, 10.1016/j.jksuci.2020.01.015, BibTeX
Judith Santos-Pereira, Le Gruenwald, and Jorge Bernardino (2022). Top data mining tools for the healthcare industry. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A), 4968-4982, 10.1016/j.jksuci.2021.06.002, BibTeX
Woojin Doo, and Heeyoung Kim (2022). Simultaneous band selection and segmentation of hyperspectral images via a mixture of finite maximum margin mixtures. International Journal of Remote Sensing 43(6), 2296-2314, Informa UK Limited, 10.1080/01431161.2022.2058893
Magda M. Madbouly, Saad M. Darwish, Noha A. Bagi, and Mohamed A. Osman (2022). Clustering Big Data Based on Distributed Fuzzy K-Medoids: An Application to Geospatial Informatics. IEEE Access 10, 20926-20936, 10.1109/ACCESS.2022.3149548, BibTeX
Yisen Lin, Xinlun Zhang, Lei Liu, and Huichen Qu (2022). DEDIC: Density Estimation Clustering Method Using Directly Interconnected Cores. IEEE Access 10, 132031-132039, 10.1109/ACCESS.2022.3229582, BibTeX
C. Jayaramulu, and Bondu Venkateswarlu (2022). DLOT-Net: A Deep Learning Tool For Outlier Identification. 2022 6th International Conference on Electronics, Communication and Aerospace Technology, IEEE, 10.1109/ICECA55336.2022.10009390
Amogh Karhadkar, Akanksha Laddha, Revanth N M, Antara Roy Choudhury, and K Panimozhi (2022). NLP Based Review Categorization: A Survey. 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 10.1109/ICICCS53718.2022.9788183
Pengfei Lin, Sheng Huang, and Shiping Wang (2022). Local Geometrical Deep Matrix Factorization for Multi-View Clustering. ITSC, 1088-1093, IEEE, 10.1109/ITSC55140.2022.9922111, BibTeX
Eduardo Luis Gomes, Mauro Fonseca, Andre Eugenio Lazzaretti, Anelise Munaretto, and Carlos Guerber (2022). Clustering and Hierarchical Classification for High-Precision RFID Indoor Location Systems. IEEE Sensors Journal 22(6), 5141-5149, IEEE, 10.1109/JSEN.2021.3103043
Jakob Nonnenmacher, Nils-Christoph Holte, and Jorge Marx Gomez (2022). Tell Me Why - A Systematic Literature Review on Outlier Explanation for Tabular Data. 2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML), IEEE, 10.1109/PRML56267.2022.9882256
Z. Ning, Mostafa Rizk, Amer Baghdadi, and Jean-Philippe Diguet (2022). Enhancing embedded AI-based object detection using multi-view approach. RSP, 15-21, IEEE, 10.1109/RSP57251.2022.10039026, BibTeX
Shiping Wang, Lele Fu, Zhewen Wang, Haiping Xu, and William Zhu (2022). Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification. IEEE Trans. Comput. Soc. Syst. 9(3), 926-939, 10.1109/TCSS.2021.3109151, BibTeX
Jiayun Xu, Yingjiu Li, Robert H. Deng, and Ke Xu (2022). SDAC: A Slow-Aging Solution for Android Malware Detection Using Semantic Distance Based API Clustering. IEEE Trans. Dependable Secur. Comput. 19(2), 1149-1163, 10.1109/TDSC.2020.3005088, BibTeX
Ahmet Cinar, F. Sibel Salman, Ozgur M. Araz, and Mert Parcaoglu (2022). Managing Home Health-Care Services With Dynamic Arrivals During a Public Health Emergency. IEEE Transactions on Engineering Management, 1-15, IEEE, 10.1109/TEM.2022.3209962
Kerem Nazliel, Kerem Kayabay, Mert Onuralp Gokalp, Ebru Gokalp, and Erhan Eren (2022). Data Science Technology Selection: Development of a Decision-Making Approach. 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE), IEEE, 10.1109/TEMSCONEUROPE54743.2022.9802054
Gaurav Mishra, and Sraban Kumar Mohanty (2022). RDMN: A Relative Density Measure Based on MST Neighborhood for Clustering Multi-Scale Datasets. IEEE Trans. Knowl. Data Eng. 34(1), 419-432, 10.1109/TKDE.2020.2982400, BibTeX
Lele Fu, Zhaoliang Chen, Yongyong Chen, and Shiping Wang (2022). Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Transactions on Multimedia, 1-14, IEEE, 10.1109/TMM.2022.3185886
Aparajita Khan, and Pradipta Maji (2022). Multi-Manifold Optimization for Multi-View Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(8), 3895-3907, 10.1109/TNNLS.2021.3054789, BibTeX
Haoli Zhao, Zhenni Li, Wuhui Chen, Zibin Zheng, and Shengli Xie (2022). Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering. IEEE Transactions on Neural Networks and Learning Systems, 1-15, IEEE, 10.1109/TNNLS.2022.3153310
Guowang Du, Lihua Zhou, Kevin Lu, Hao Wu, and Zhimin Xu (2022). Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization. IEEE Transactions on Neural Networks and Learning Systems, 1-15, IEEE, 10.1109/TNNLS.2022.3165542
Youwei Liang, Dong Huang, Chang-Dong Wang, and Philip S. Yu (2022). Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Netw. Learn. Syst., 10.1109/TNNLS.2022.3192445
Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, and Bo Xu (2022). Self-Supervised Deep Multiview Spectral Clustering. IEEE Transactions on Neural Networks and Learning Systems, 1-10, IEEE, 10.1109/TNNLS.2022.3195780
Shudong Huang, Ivor W. Tsang, Zenglin Xu, and Jiancheng Lv (2022). CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Transactions on Neural Networks and Learning Systems, 1-14, IEEE, 10.1109/TNNLS.2022.3201964
Palak Dixit, Pronaya Bhattacharya, Sudeep Tanwar, and Rajesh Gupta (2022). Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey. Expert Syst. J. Knowl. Eng. 39(5), 10.1111/exsy.12754, BibTeX
谷口真幸, 柗本真佑, and 楠本真二 (2022). JTDog: 動的テストスメル検出のためのGradleプラグイン. コンピュータソフトウェア 39(4), 4_50-4_60, 日本ソフトウェア科学会, 10.11309/jssst.39.4_50
Avril M. Harder, and Mark R. Christie (2022). Genomic signatures of adaptation to novel environments: hatchery and life history-associated loci in landlocked and anadromous Atlantic salmon (Salmo salar). Canadian Journal of Fisheries and Aquatic Sciences 79(5), 761-770, Canadian Science Publishing, 10.1139/cjfas-2021-0066
Binglei Lou, David Boland, and Philip H.W. Leong (2022). fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library. ACM Transactions on Reconfigurable Technology and Systems, Association for Computing Machinery (ACM), 10.1145/3568992
Gaikwad Mahesh Parasharam Harsh Lohiya (2022). Outlier Identification Based on Machine Learning for Medical Equipment. Mathematical Statistician and Engineering Applications 71(4), 11193-11206, 10.17762/msea.v71i4.2216
Erich Schubert, and Lars Lenssen (2022). Fast k-medoids Clustering in Rust and Python. J. Open Source Softw. 7(75), 4183, 10.21105/joss.04183, BibTeX
Lynda Boukela, Gongxuan Zhang, Méziane Yacoub, Samia Bouzefrane, and Sajjad Bagheri Baba Ahmadi (2022). An approach for unsupervised contextual anomaly detection and characterization. Intell. Data Anal. 26(5), 1185-1209, 10.3233/IDA-215906, BibTeX
Cyril Esnault, Melissa Rollot, Pauline Guilmin, and Jean-Daniel Zucker (2022). Qluster: An easy-to-implement generic workflow for robust clustering of health data. Frontiers Artif. Intell. 5, 10.3389/frai.2022.1055294, BibTeX
Stella C. Christopoulou (2022). Machine Learning Tools and Platforms in Clinical Trial Outputs to Support Evidence-Based Health Informatics: A Rapid Review of the Literature. BioMedInformatics 2(3), 511-527, Mdpi Ag, 10.3390/biomedinformatics2030032
María Luisa Sanz Martínez (2022). Supporting teachers in the design and implementation of group formation policies to carry out group learning activities in massive and variable scale on-line learning contexts. Universidad de Valladolid, 10.35376/10324/52423
Md Amiruzzaman, Rashik Rahman, Md. Rajibul Islam, and Rizal Mohd Nor (2022). Logical analysis of built-in DBSCAN Functions in Popular Data Science Programming Languages. Mist International Journal Of Science And Technology 10, 25-32, Military Institute of Science and Technology (MIST), 10.47981/j.mijst.10(01)2022.349(25-32)
Binbin Gu, Saeed Kargar, and Faisal Nawab (2022). Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution. CoRR abs/2203.00812, 10.48550/arXiv.2203.00812, BibTeX
Yunus Parvej Faniband, Iskandar Ishak, and Sadiq M. Sait (2022). A Review of Open Source Software Tools for Time Series Analysis. CoRR abs/2203.05195, 10.48550/arXiv.2203.05195, BibTeX
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, and Philip S. Yu (2022). PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095, 10.48550/arXiv.2204.12095, BibTeX
David Muhr, Michael Affenzeller, and Anthony D. Blaom (2022). OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language. CoRR abs/2211.04550, 10.48550/arXiv.2211.04550, BibTeX
Daniel Boiar, Thomas Liebig, and Erich Schubert (2022). LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR abs/2212.13626, 10.48550/arXiv.2212.13626, BibTeX
Zheng Song, and Shu Luo (2022). Application of machine learning and data mining in manufacturing industry. Frontiers in Computing and Intelligent Systems 2(1), 47-53, Darcy & Roy Press Co. Ltd. 10.54097/fcis.v2i1.2966
Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, and En Zhu (2022). Fusion Multiple Kernel K-means. AAAI, 9109-9117, AAAI Press, BibTeX
Shaochen Zhong, Guanqun Zhang, Ningjia Huang, and Shuai Xu (2022). Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR, OpenReview.net, BibTeX
Teng-Hui Huang, Aly El Gamal, and Hesham El Gamal (2022). On the Multi-View Information Bottleneck Representation. CoRR abs/2202.02684, BibTeX
Girish Kumar Gupta, and Mohammad Hassan Baig (2022). In Silico Chemistry and Biology. Current and Future Prospects. Walter de Gruyter GmbH & Co KG, 9783110492453
Siwei Wang, Xinwang Liu, and En Zhu (2022). Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. arXiv 2208.01198
Fu Lele, Zhang Lei, Yang Jinghua, Chen Chuan, Zhang Chuanfu, and Zheng Zibin (2022). Subspace-Contrastive Multi-View Clustering. arXiv 2210.06795
Athina Ntiana Christidou (2022). Machine learning to analyze social media data for disaster management.
Daniel Benedí García (2022). Optimisation of parallel k-d trees using heuristics for neuron touch detection task.
Kalkidan Mekonnen (2022). Improving Customer Service Using Public Opinion Mining. St. Mary’s University
Mahboobeh Riahi Madvar, ahmad Akbari, and B. Nasersharif (2022). Outlier Detection in High Dimensional Data Using Entropy-Based Locally Relevant Subspace Selection. Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran 92(4), 302, Iranian Research Institute for Electrical Engineering
Tilemachos Charalampous (2022). Behavior recognition for maritime situational awareness.

2021

Francesca Soro, Thomas Favale, Danilo Giordano, Luca Vassio, Zied Ben Houidi, and Idilio Drago (2021). The New Abnormal: Network Anomalies in the AI Era. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, 261-288, Wiley, 10.1002/9781119675525.ch11
Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, and Giovanni Stilo (2021). Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. PAKDD (1), 91-103, Springer, 10.1007/978-3-030-75762-5_8, BibTeX
Volker Liermann (2021). Overview Machine Learning and Deep Learning Frameworks. The Digital Journey of Banking and Insurance, Volume III, 187-224, Springer, 10.1007/978-3-030-78821-6_12
Erich Schubert, Andreas Lang, and Gloria Feher (2021). Accelerating Spherical k-Means. SISAP, 217-231, Springer, 10.1007/978-3-030-89657-7_17, BibTeX
Franka Bause, David B. Blumenthal, Erich Schubert, and Nils M. Kriege (2021). Metric Indexing for Graph Similarity Search. SISAP, 323-336, Springer, 10.1007/978-3-030-89657-7_24, BibTeX
Erich Schubert (2021). A Triangle Inequality for Cosine Similarity. SISAP, 32-44, Springer, 10.1007/978-3-030-89657-7_3, BibTeX
Felix Borutta, Peer Kröger, and Matthias Renz (2021). A Cost Model for Reverse Nearest Neighbor Query Processing on R-Trees Using Self Pruning. SISAP, 45-53, Springer, 10.1007/978-3-030-89657-7_4, BibTeX
Bimal Bhattarai, Ole-Christoffer Granmo, and Lei Jiao (2021). A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. ICAART (Revised Selected Papers), 250-268, Springer, 10.1007/978-3-031-10161-8_14, BibTeX
Zora Hocke-Bolte, Björn Peters, and Tibor Haunit (2021). Big Data-Anwendungen in der Gesundheitsförderung und Prävention. Forschungsmethoden in der Gesundheitsförderung und Prävention, 745-777, Springer Fachmedien Wiesbaden, 10.1007/978-3-658-31434-7_27
Andrzej Chmielowiec (2021). Algorithm for error-free determination of the variance of all contiguous subsequences and fixed-length contiguous subsequences for a sequence of industrial measurement data. Comput. Stat. 36(4), 2813-2840, 10.1007/S00180-021-01096-1, BibTeX
Tanzhe Tang, Amineh Ghorbani, Flaminio Squazzoni, and Caspar G. Chorus (2021). Together alone: a group-based polarization measurement. Quality & Quantity, Springer Science and Business Media LLC, 10.1007/s11135-021-01271-y
Raneem Qaddoura, Hossam Faris, and Ibrahim Aljarah (2021). An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. J. Ambient Intell. Humaniz. Comput. 12(8), 8387-8412, 10.1007/s12652-020-02570-2, BibTeX
Guowang Du, Lihua Zhou, Yudi Yang, Kevin Lü, and Lizhen Wang (2021). Deep Multiple Auto-Encoder-Based Multi-view Clustering. Data Sci. Eng. 6(3), 323-338, 10.1007/s41019-021-00159-z, BibTeX
Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, and Pedro A. Castillo (2021). EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. SN Comput. Sci. 2(3), 185, 10.1007/s42979-021-00511-0, BibTeX
Ali Keyvanfar, Arezou Shafaghat, Nurhaizah Ismail, Sapura Mohamad, and Hamidah Ahmad (2021). Multifunctional retention pond for stormwater management: A decision-support model using Analytical Network Process (ANP) and Global Sensitivity Analysis (GSA). Ecological Indicators 124, 107317, Elsevier BV, 10.1016/J.ECOLIND.2020.107317
Israa S. Kamil, and Safaa O. Al-Mamory (2021). Enhancement of OPTICS’ time complexity by using fuzzy clusters. Materials Today: Proceedings, Elsevier BV, 10.1016/J.MATPR.2021.06.441
Adán José García, Julia Handl, Wilfrido Gómez-Flores, and Mario Garza-Fabre (2021). An evolutionary many-objective approach to multiview clustering using feature and relational data. Appl. Soft Comput. 108, 107425, 10.1016/j.asoc.2021.107425, BibTeX
Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, and Xiao-Ming Wu (2021). RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. 176, 128-137, 10.1016/J.COMCOM.2021.06.002, BibTeX
Alican Dogan, and Derya Birant (2021). Machine learning and data mining in manufacturing. Expert Syst. Appl. 166, 114060, 10.1016/j.eswa.2020.114060, BibTeX
Laura Erhan, Maryleen U. Ndubuaku, Mario Di Mauro, Wei Song, Min Chen, Giancarlo Fortino, Ovidiu Bagdasar, and Antonio Liotta (2021). Smart anomaly detection in sensor systems: A multi-perspective review. Inf. Fusion 67, 64-79, 10.1016/j.inffus.2020.10.001, BibTeX
Edouard Fouché, Florian Kalinke, and Klemens Böhm (2021). Efficient subspace search in data streams. Inf. Syst. 97, 101705, 10.1016/j.is.2020.101705, BibTeX
Erich Schubert, and Peter J. Rousseeuw (2021). Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. 101, 101804, 10.1016/j.is.2021.101804, BibTeX
Tommaso Zoppi, and Andrea Ceccarelli (2021). Prepare for trouble and make it double! Supervised - Unsupervised stacking for anomaly-based intrusion detection. J. Netw. Comput. Appl. 189, 103106, 10.1016/j.jnca.2021.103106, BibTeX
Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, and Hong Yu (2021). Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. 212, 106615, 10.1016/j.knosys.2020.106615, BibTeX
Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, and Bijan Raahemi (2021). A new density-based subspace selection method using mutual information for high dimensional outlier detection. Knowl. Based Syst. 216, 106733, 10.1016/j.knosys.2020.106733, BibTeX
Vamsidhar Enireddy, S. Finney Daniel shadrach, P. Shobha rani, R. Anitha, Sugumari Vallinayagam, T. Maridurai, T. Sathish, and E. Balakrishnan (2021). Prediction of human diseases using optimized clustering techniques. Materials Today: Proceedings 46, 4258-4264, Elsevier BV, 10.1016/j.matpr.2021.03.068
S. Venkatramulu, M.S.B. Phridviraj, C. Srinivas, and V. Chandra Shekhar Rao (2021). Implementation of Grafana as open source visualization and query processing platform for data scientists and researchers. Materials Today: Proceedings, Elsevier BV, 10.1016/j.matpr.2021.03.364
Prashant Gupta, Aashi Jindal, Jayadeva, and Debarka Sengupta (2021). Linear time identification of local and global outliers. Neurocomputing 429, 141-150, 10.1016/j.neucom.2020.11.059, BibTeX
Mohamed A. Abbas, Adel A. El-Zoghabi, and Amin A. Shoukry (2021). DenMune: Density peak based clustering using mutual nearest neighbors. Pattern Recognit. 109, 107589, 10.1016/j.patcog.2020.107589, BibTeX
Akanksha Mukhriya, and Rajeev Kumar (2021). Building outlier detection ensembles by selective parameterization of heterogeneous methods. Pattern Recognit. Lett. 146, 126-133, 10.1016/j.patrec.2021.03.008, BibTeX
Adriana Tomic, Ivan Tomic, Levi Waldron, Ludwig Geistlinger, Max Kuhn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia D. Tomaras, Jennifer Hill, Niharika A. Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen D. R. Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, and Mark M. Davis (2021). SIMON: Open-Source Knowledge Discovery Platform. Patterns 2(1), 100178, 10.1016/j.patter.2020.100178, BibTeX
T. Sangeetha, and Geetha Mary A (2021). A fuzzy proximity relation approach for outlier detection in the mixed dataset by using rough entropy-based weighted density method. Soft Computing Letters 3, 100027, Elsevier BV, 10.1016/j.socl.2021.100027
Danilo Barbosa Coimbra, Rafael Messias Martins, Edson Mota, Tácito Trindade de Araújo Tiburtino Neves, Pedro Diamantino, and Maycon L. M. Peixoto (2021). Analyzing the quality of local and global multidimensional projections using performance evaluation planning. Theor. Comput. Sci. 872, 41-54, 10.1016/J.TCS.2020.12.043, BibTeX
Andoni Garitano-Trojaola, Ana Sancho, Ralph Götz, Patrick Eiring, Susanne Walz, Hardikkumar Jetani, Jesus Gil-Pulido, Matteo Claudio Da Via, Eva Teufel, Nadine Rhodes, Larissa Haertle, Estibaliz Arellano-Viera, Raoul Tibes, Andreas Rosenwald, Leo Rasche, Michael Hudecek, Markus Sauer, Jürgen Groll, Hermann Einsele, Sabrina Kraus, and Martin K. Kortüm (2021). Actin cytoskeleton deregulation confers midostaurin resistance in FLT3-mutant acute myeloid leukemia. Communications Biology 4(1), Springer Science and Business Media LLC, 10.1038/s42003-021-02215-w
Aline Melo, and Yaoguo Li (2021). Geology differentiation by applying unsupervised machine learning to multiple independent geophysical inversions. Geophysical Journal International 227(3), 2058-2078, Oxford University Press (OUP), 10.1093/gji/ggab316
Masayuki Taniguchi, Shinsuke Matsumoto, and Shinji Kusumoto (2021). JTDog: a Gradle Plugin for Dynamic Test Smell Detection. ASE, 1271-1275, IEEE, 10.1109/ASE51524.2021.9678529, BibTeX
Mahboobeh Riahi-Madvar, Babak Nasersharif, and Ahmad Akbari Azirani (2021). Subspace Outlier Detection in High Dimensional Data using Ensemble of PCA-based Subspaces. CSICC, 1-5, IEEE, 10.1109/CSICC52343.2021.9420589, BibTeX
Manish Mahajan, Santosh Kumar, Bhasker Pant, and Rijwan Khan (2021). Improving Accuracy of Air Pollution Prediction by Two Step Outlier Detection. 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 10.1109/ICAECT49130.2021.9392404
Anna Beer, Lisa Stephan, and Thomas Seidl (2021). LUCKe - Connecting Clustering and Correlation Clustering. ICDM (Workshops), 431-440, IEEE, 10.1109/ICDMW53433.2021.00059, BibTeX
Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, and Thomas Seidl (2021). Implicit Hough Transform Neural Networks for Subspace Clustering. ICDM (Workshops), 441-448, IEEE, 10.1109/ICDMW53433.2021.00060, BibTeX
Andreas Lohrer, Jan Deller, Maximilian Hünemörder, and Peer Kröger (2021). OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets. ICDM (Workshops), 991-1000, IEEE, 10.1109/ICDMW53433.2021.00129, BibTeX
Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, and Shiping Wang (2021). Multi-View Learning Via Low-Rank Tensor Optimization. ICME, 1-6, IEEE, 10.1109/ICME51207.2021.9428291, BibTeX
Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, and Anita Raja (2021). An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems. ICSE, 238-250, IEEE, 10.1109/ICSE43902.2021.00033, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2021). Feature Rankers to Predict Classification Performance of Unsupervised Intrusion Detectors. LADC, 1-9, IEEE, 10.1109/LADC53747.2021.9672586, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2021). Detecting Intrusions by Voting Diverse Machine Learners: Is It Really Worth?. PRDC, 57-66, IEEE, 10.1109/PRDC53464.2021.00017, BibTeX
Mathias Birrer, Pooja Rani, Sebastiano Panichella, and Oscar Nierstrasz (2021). Makar: A Framework for Multi-source Studies based on Unstructured Data. SANER, 577-581, IEEE, 10.1109/SANER50967.2021.00069, BibTeX
André F. R. Guarda, Nuno M. M. Rodrigues, and Fernando Pereira (2021). Constant Size Point Cloud Clustering: A Compact, Non-Overlapping Solution. IEEE Trans. Multim. 23, 77-91, 10.1109/TMM.2020.2974325, BibTeX
Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen, Yi Yang, and Z. Jane Wang (2021). Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data. IEEE Trans. Neural Networks Learn. Syst. 32(4), 1486-1496, 10.1109/TNNLS.2020.2984810, BibTeX
Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, and Shiping Wang (2021). Differentiable Bi-Sparse Multi-View Co-Clustering. IEEE Trans. Signal Process. 69, 4623-4636, 10.1109/TSP.2021.3101979, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2021). Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application. IEEE Access 9, 90603-90615, IEEE, 10.1109/access.2021.3090957
Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, and Thomas Seidl (2021). Compound Segmentation via Clustering on Mol2Vec-based Embeddings. e-Science, 60-69, IEEE, 10.1109/eScience51609.2021.00016, BibTeX
P. A. Mukhachev, T. R. Sadretdinov, D. A. Pritykin, A. B. Ivanov, and S. V. Solov’ev (2021). Modern Machine Learning Methods for Telemetry-Based Spacecraft Health Monitoring. Autom. Remote. Control. 82(8), 1293-1320, 10.1134/S0005117921080014, BibTeX
Qizhou Wang, Sarah M. Erfani, Christopher Leckie, and Michael E. Houle (2021). A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM, 118-126, SIAM, 10.1137/1.9781611976700.14, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, and Andrea Bondavalli (2021). Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. Trans. Data Sci. 2(2), 7:1-7:26, 10.1145/3441140, BibTeX
Kai Liu, Hongbo Liu, Tomas E. Ward, Hua Wang, Yu Yang, Bo Zhang, and Xindong Wu (2021). Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models. ACM Trans. Knowl. Discov. Data 15(5), 87:1-87:26, 10.1145/3447570, BibTeX
Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, and Shichao Zhang (2021). Anomaly Detection With Kernel Preserving Embedding. ACM Trans. Knowl. Discov. Data 15(5), 91:1-91:18, 10.1145/3447684, BibTeX
John Wamburu, Stephen Lee, Mohammad H. Hajiesmaili, David E. Irwin, and Prashant J. Shenoy (2021). Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1), 38:1-38:28, 10.1145/3448081, BibTeX
Tommaso Zoppi, Mohamad Gharib, Muhammad Atif, and Andrea Bondavalli (2021). Meta-Learning to Improve Unsupervised Intrusion Detection in Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 5(4), 42:1-42:27, 10.1145/3467470, BibTeX
Eugenio Ferreira Cabral (2021). Using Similarity Self-Join Techniques. Universidade de Sao Paulo, Agencia USP de Gestao da Informacao Academica (AGUIA), 10.11606/D.55.2021.tde-29042021-111846
Xiaoshen Yin, Alexander S. Martinez, Maria S. Sepúlveda, and Mark R. Christie (2021). Rapid genetic adaptation to recently colonized environments is driven by genes underlying life history traits. BMC Genomics 22(1), Springer Science and Business Media LLC, 10.1186/s12864-021-07553-x
Amin Ganjali Khosrowshahi, Iman Aghayan, Mehmet Metin Kunt, and Abdoul-Ahad Choupani (2021). Detecting crash hotspots using grid and density-based spatial clustering. Proceedings of the Institution of Civil Engineers - Transport, 1-31, Thomas Telford Ltd. 10.1680/jtran.20.00028
Sandra Obermeier, Anna Beer, Florian Wahl, and Thomas Seidl (2021). Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. BTW, 175-194, Gesellschaft für Informatik, Bonn, 10.18420/btw2021-09, BibTeX
Ruizhe Ma, Xiaoping Zhu, and Li Yan (2021). A Hybrid Approach for Clustering Uncertain Time Series. Journal of Computing and Information Technology 28(4), 255-267, Faculty of Electrical Engineering and Computing, Univ. of Zagreb, 10.20532/cit.2020.1004802
Niccolo Caldararo (2021). Anatomical Variation, Hominins, Species, and Self-Domestication. OBM Genetics 6(1), LIDSEN Publishing Inc, 10.21926/obm.genet.2201145
Vít Malinovský (2021). Predicting Trends in Cereal Production in the Czech Republic by Means of Neural Networks. AGRIS on-line Papers in Economics and Informatics 13(665-2022-451), 87-103, 10.22004/ag.econ.320250
Len Du, and Marcus Hutter (2021). How Useful are Hand-crafted Data? Making Cases for Anomaly Detection Methods. Proceedings of the 54th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 10.24251/hicss.2021.104
Xuyang Han, Costas Armenakis, and Mojgan Jadidi (2021). Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN. Sustainability 13(15), 8162, Mdpi Ag, 10.3390/SU13158162
Nora Gourmelon, Siming Bayer, Michael Mayle, Guy Bach, Christian Bebber, Christophe Munck, Christoph Sosna, and Andreas Maier (2021). Implications of Experiment Set-Ups for Residential Water End-Use Classification. Water 13(2), 236, Mdpi Ag, 10.3390/W13020236
Yuxiang Sun, Tianyi Zhao, Seulgi Yoon, and Yongju Lee (2021). *A Hybrid Approach Combining R*-Tree and k-d Trees to Improve Linked Open Data Query Performance**. *Applied Sciences 11(5), 2405, Mdpi Ag, 10.3390/app11052405
Salim Miloudi, Yulin Wang, and Wenjia Ding (2021). An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining. Entropy 23(5), 553, 10.3390/e23050553, BibTeX
Istvan Dunkl, and Mareike Ließ (2021). On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization. Copernicus GmbH, 10.5194/SOIL-2020-102
Jaehyeong;Kwon Sunghoon; Ahn (2021). A survey on unsupervised subspace outlier detection methods for high dimensional data. The Korean Journal of Applied Statistics 34(3), 507-521, The Korean Statistical Society, 10.5351/KJAS.2021.34.3.507
Nikolaos Myrtakis, Vassilis Christophides, and Eric Simon (2021). A Comparative Evaluation of Anomaly Explanation Algorithms. EDBT, 97-108, OpenProceedings.org, 10.5441/002/edbt.2021.10, BibTeX
Adrian Englhardt (2021). Cost-Quality Trade-Offs in One-Class Active Learning. 10.5445/IR/1000136208
Mujeeb ur Rehman, and Dost Muhammad Khan (2021). A Novel Density-based Technique for Outlier Detection of High Dimensional Data Utilizing Full Feature Space. Inf. Technol. Control. 50(1), 138-152, 10.5755/j01.itc.50.1.25588, BibTeX
Tommaso Zoppi, Enrico Schiavone, Irene Bicchierai, Francesco Brancati, and Andrea Bondavalli (2021). Spoofing Detectability as a Property of Biometric Characteristics. ITASEC, 92-105, CEUR-WS.org, BibTeX
Erich Schubert (2021). HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations. LWDA, 191-204, CEUR-WS.org, BibTeX
Frank Nussbaum, and Joachim Giesen (2021). Robust principal component analysis for generalized multi-view models. UAI, 686-695, AUAI Press, BibTeX
Nikodimos Provatas (2021). Exploiting Data Distribution in Distributed Learning of Deep Classification Models under the Parameter Server Architecture. PhD@VLDB, CEUR-WS.org, BibTeX
Yue Zhao, George H. Chen, and Zhihao Jia (2021). TOD: Tensor-based Outlier Detection. CoRR abs/2110.14007, BibTeX
Md. Nazmul Kabir Sikder, and Feras A. Batarseh (2021). Outlier Detection using AI: A Survey. CoRR abs/2112.00588, BibTeX
Hasmat Malik, Nuzhat Fatema, and Atif Iqbal (2021). Intelligent Data-Analytics for Condition Monitoring. Smart Grid Applications. Academic Press, 9780323855112
André Miguel Namorado Canhoto Antunes (2021). Computational famework to support serious games design for children with special needs.
Francisco José García García (2021). Efficient Query Processing in Distributed Spatial Data Management Systems. Universidad de Almería
Francisco José García García (2021). Procesamiento Eficiente De Consultas En Sistemas De Gestión De Datos Espaciales Distribuidos (EFFICIENT QUERY PROCESSING IN DISTRIBUTED SPATIAL DATA MANAGEMENT SYSTEMS.). Universidad de Almería
George Anwar Dany Beskales, and Tamr Inc (2021). Method and computer program product for training a pairwise classifier for use in entity resolution in large data sets.
Khalid Ali Mohammed Haidar, and Ahmed Mohamed Ibrahim (2021). Comparison Between Gross Errors Detection Methods in Surveying Measurements. Journal of Engineering and Computer Science (JECS) 22(1), 47-55
Luisa Fernanda Pastrán Ramírez, and Santiago Gongora Aya (2021). Algoritmo de selección y validación del método de clusterización óptimo para datos no supervisados. Pereira: Universidad Tecnológica de Pereira
Marcio Trindade Guerreiro (2021). Análise de métodos de agrupamento de dados para detecção de anomalias na precificação e categorização de peças da indústria automotiva (Analysis of data clustering methods to detect anomalies in the pricing and categorization of automotive industry parts). Universidade Tecnológica Federal do Paraná
Mehdi Djellabi (2021). Mesure d’interactions locales pour les nœuds d’un réseau complexe: approches théorique et pratique. Université Toulouse le Mirail - Toulouse II
Prof. Dr. Hamza EROL (2021). Büyük veri analitiği için yüksek performans hesaplama: çözüm ortamları ve kodlama. Bilgisayar Bilimleri ve Teknolojileri Dergisi 2(2), 66-71
Rocío Betsabé Hubert (2021). Herramientas para el análisis de grandes volúmenes de datos en iniciativas de participación ciudadana.
Silvia Faschina (2021). Validierungsstudien zur Diagnostik der Aufmerksamkeitsdefizit-/ Hyperaktivitätsstörung (ADHS) im Erwachsenenalter.
Álvarez Tena, Begoña (2021). Un nuevo modelo para la planificación de los partidos de la fase regular de la NBA Universidad de Zaragoza
Г. О. Кононова (2021). Метод виявлення вторгнень в комп’ютерну мережу на основі технологій машинного навчання.

2020

Yanki Aslan, Jan Puskely, Antoine Roederer, and Alexander Yarovoy (2020). Synthesis of quasi‐modular circularly polarized 5G base station antenna arrays based on irregular clustering and sequential rotation. Microwave and Optical Technology Letters, Wiley, 10.1002/mop.32735
Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, and Arthur Zimek (2020). Density-based clustering. WIREs Data Mining Knowl. Discov. 10(2), 10.1002/widm.1343, BibTeX
Grzegorz Gołaszewski (2020). Similarity-Based Outlier Detection in Multiple Time Series. Information Technology, Systems Research, and Computational Physics, 116-131, Springer, 10.1007/978-3-030-18058-4_10
Piotr A. Kowalski, Szymon Łukasik, Małgorzata Charytanowicz, and Piotr Kulczycki (2020). Optimizing Clustering with Cuttlefish Algorithm. Information Technology, Systems Research, and Computational Physics, 34-43, Springer, 10.1007/978-3-030-18058-4_3
J. H. Kamdar, J. Jeba Praba, and John J. Georrge (2020). Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications. Machine Learning with Health Care Perspective, 27-37, Springer, 10.1007/978-3-030-40850-3_2
Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, and Pedro A. Castillo (2020). EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. EvoApplications, 20-36, Springer, 10.1007/978-3-030-43722-0_2, BibTeX
Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Sören Becker, Jorge S. Cardoso, and Odej Kao (2020). Multi-source Distributed System Data for AI-Powered Analytics. ESOCC, 161-176, Springer, 10.1007/978-3-030-44769-4_13, BibTeX
Andreas Züfle (2020). Uncertain Spatial Data Management: An Overview. Handbook of Big Geospatial Data, 10.1007/978-3-030-55462-0_14, BibTeX
Jakub Peschel, Michal Batko, and Pavel Zezula (2020). Algebra for Complex Analysis of Data. DEXA (1), 177-187, Springer, 10.1007/978-3-030-59003-1_12, BibTeX
Erik Thordsen, and Erich Schubert (2020). ABID: Angle Based Intrinsic Dimensionality. SISAP, 218-232, Springer, 10.1007/978-3-030-60936-8_17, BibTeX
Andreas Lang, and Erich Schubert (2020). BETULA: Numerically Stable CF-Trees for BIRCH Clustering. SISAP, 281-296, Springer, 10.1007/978-3-030-60936-8_22, BibTeX
Durgesh Samariya, Sunil Aryal, Kai Ming Ting, and Jiangang Ma (2020). A New Effective and Efficient Measure for Outlying Aspect Mining. WISE (2), 463-474, Springer, 10.1007/978-3-030-62008-0_32, BibTeX
Cédric Buche, Cindy Even, and Julien Soler (2020). Orion: A Generic Model and Tool for Data Mining. Trans. Comput. Sci. 36, 1-25, Springer, 10.1007/978-3-662-61364-1_1, BibTeX
Akanksha Mukhriya, and Rajeev Kumar (2020). Homogeneous Pools to Heterogeneous Ensembles for Unsupervised Outlier Detection. Information, Communication and Computing Technology, 284-295, Springer, 10.1007/978-981-15-9671-1_25
Thomas Ortner, Peter Filzmoser, Maia Rohm, Sarka Brodinova, and Christian Breiteneder (2020). Local projections for high-dimensional outlier detection. METRON, Springer Science and Business Media LLC, 10.1007/S40300-020-00183-5
Douglas L. Steinley (2020). Editorial: Journal of Classification Vol. 37-1. J. Classif. 37(1), 1-3, 10.1007/s00357-019-09356-y, BibTeX
Hao Wang, Yan Yang, Xiaobo Zhang, and Bo Peng (2020). Parallel multi-view concept clustering in distributed computing. Neural Comput. Appl. 32(10), 5621-5631, 10.1007/s00521-019-04243-4, BibTeX
Ibrahim Aljarah, Majdi M. Mafarja, Ali Asghar Heidari, Hossam Faris, and Seyedali Mirjalili (2020). Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach. Knowl. Inf. Syst. 62(2), 507-539, 10.1007/s10115-019-01358-x, BibTeX
Mohd Yousuf Ansari, Amir Ahmad, Shehroz S. Khan, Gopal Bhushan, and Mainuddin (2020). Spatiotemporal clustering: a review. Artif. Intell. Rev. 53(4), 2381-2423, 10.1007/s10462-019-09736-1, BibTeX
Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, and Kate Smith-Miles (2020). On normalization and algorithm selection for unsupervised outlier detection. Data Min. Knowl. Discov. 34(2), 309-354, 10.1007/s10618-019-00661-z, BibTeX
Fatemeh Riahi, and Oliver Schulte (2020). Model-based exception mining for object-relational data. Data Min. Knowl. Discov. 34(3), 681-722, 10.1007/S10618-020-00677-W, BibTeX
Dante Travisany, Eric Goles, Mauricio Latorre, María Paz Cortés, and Alejandro Maass (2020). Generation and robustness of Boolean networks to model Clostridium difficile infection. Nat. Comput. 19(1), 111-134, 10.1007/s11047-019-09730-0, BibTeX
Hien Duy Nguyen, Florence Forbes, and Geoffrey J. McLachlan (2020). Mini-batch learning of exponential family finite mixture models. Stat. Comput. 30(4), 731-748, 10.1007/s11222-019-09919-4, BibTeX
Dannie Korsgaard, Thomas Bjørner, Pernille Krog Sørensen, and Paolo Burelli (2020). Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering. User Model. User Adapt. Interact. 30(1), 81-125, 10.1007/s11257-019-09252-5, BibTeX
Raneem Qaddoura, Hossam Faris, and Ibrahim Aljarah (2020). An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio. Int. J. Mach. Learn. Cybern. 11(3), 675-714, 10.1007/s13042-019-01027-z, BibTeX
Haofan Zhang, Ke Nian, Thomas F. Coleman, and Yuying Li (2020). Spectral ranking and unsupervised feature selection for point, collective, and contextual anomaly detection. Int. J. Data Sci. Anal. 9(1), 57-75, 10.1007/s41060-018-0161-7, BibTeX
Szymon Łukasik, and Piotr A. Kowalski (2020). Clustering with nature-inspired metaheuristics. Nature-Inspired Computation and Swarm Intelligence, 165-178, Elsevier, 10.1016/b978-0-12-819714-1.00021-x
Mariano Kohan, and Juan M. Ale (2020). Discovering traffic congestion through traffic flow patterns generated by moving object trajectories. Comput. Environ. Urban Syst. 80, 101426, 10.1016/j.compenvurbsys.2019.101426, BibTeX
Thiago Orion Simões Amorim, Luke Rendell, Juliana Di Tullio, Eduardo R. Secchi, Franciele R. Castro, and Artur Andriolo (2020). Coda repertoire and vocal clans of sperm whales in the western Atlantic Ocean. Deep Sea Research Part I: Oceanographic Research Papers 160, 103254, Elsevier BV, 10.1016/j.dsr.2020.103254
Francisco García-García, Antonio Corral, Luis Iribarne, and Michael Vassilakopoulos (2020). Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop. Future Gener. Comput. Syst. 111, 723-740, 10.1016/j.future.2019.10.037, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, Lorenzo Salani, and Andrea Bondavalli (2020). On the educated selection of unsupervised algorithms via attacks and anomaly classes. J. Inf. Secur. Appl. 52, 102474, 10.1016/J.JISA.2020.102474, BibTeX
Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, and Hong Yu (2020). Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. 193, 105459, 10.1016/j.knosys.2019.105459, BibTeX
Fang Liu, Yanwei Yu, Peng Song, Yangyang Fan, and Xiangrong Tong (2020). Scalable KDE-based top-n local outlier detection over large-scale data streams. Knowl. Based Syst. 204, 106186, 10.1016/j.knosys.2020.106186, BibTeX
Linlin Zong, Xianchao Zhang, Xinyue Liu, and Hong Yu (2020). Multi-view clustering on data with partial instances and clusters. Neural Networks 129, 19-30, 10.1016/j.neunet.2020.05.021, BibTeX
Vanel Steve Siyou Fotso, Engelbert Mephu Nguifo, and Philippe Vaslin (2020). Frobenius correlation based u-shapelets discovery for time series clustering. Pattern Recognit. 103, 107301, 10.1016/J.PATCOG.2020.107301, BibTeX
Yuriy Sinyavskiy, Sergey Rylov, and Igor Pestunov (2020). Experimental evaluation of nonparametric clustering algorithms for image segmentation. E3S Web of Conferences 223, 02008, EDP Sciences, 10.1051/e3sconf/202022302008
Shijian Gao (2020). Linear Regression from Uncertain Data and its Applications to Housing Price Prediction. Journal of Physics: Conference Series 1634, 012036, IOP Publishing, 10.1088/1742-6596/1634/1/012036
Olasupo O. Ajayi, Antoine B. Bagula, and Hloniphani Maluleke (2020). Africa 3: A Continental Network Model to Enable the African Fourth Industrial Revolution. IEEE Access 8, 196847-196864, 10.1109/ACCESS.2020.3034144, BibTeX
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, and Emanuele Della Valle (2020). C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData, 483-492, IEEE, 10.1109/BigData50022.2020.9377768, BibTeX
Lixia Ji, Xiao Zhang, and Lei Zhang (2020). Research on the Algorithm of Education Data Mining Based on Big Data. 2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI), IEEE, 10.1109/CSEI50228.2020.9142529
Dmytro Progonov, Veronika Prokhorchuk, and Andriy Oliynyk (2020). Evaluation system for user authentication methods on mobile devices. DESSERT, 95-101, IEEE, 10.1109/DESSERT50317.2020.9125076, BibTeX
Manish Mahajan, Santosh Kumar, Bhasker Pant, and Umesh Kumar Tiwari (2020). Incremental Outlier Detection in Air Quality Data Using Statistical Methods. 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), IEEE, 10.1109/ICDABI51230.2020.9325683
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, and Jiawei Han (2020). Mining Text Outliers in Document Directories. ICDM, 152-161, IEEE, 10.1109/ICDM50108.2020.00024, BibTeX
Daniyal Kazempour, Long Mathias Yan, Peer Kröger, and Thomas Seidl (2020). You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. ICDM (Workshops), 308-315, IEEE, 10.1109/ICDMW51313.2020.00050, BibTeX
Daniyal Kazempour, Anna Beer, Peer Kröger, and Thomas Seidl (2020). I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. ICDM (Workshops), 316-323, IEEE, 10.1109/ICDMW51313.2020.00051, BibTeX
Effrosyni Sigala, Efthimios Alepis, and Constantinos Patsakis (2020). Measuring the Quality of Street Surfaces in Smart Cities through Smartphone Crowdsensing. IISA, 1-8, IEEE, 10.1109/IISA50023.2020.9284384, BibTeX
Andreas Züfle, Goce Trajcevski, Dieter Pfoser, and Joon-Seok Kim (2020). Managing Uncertainty in Evolving Geo-Spatial Data. MDM, 5-8, IEEE, 10.1109/MDM48529.2020.00021, BibTeX
Wei Cui, and Wei Yu (2020). A Clustering Approach to Wireless Scheduling. SPAWC, 1-5, IEEE, 10.1109/SPAWC48557.2020.9154271, BibTeX
Abdelwahab Boualouache, Sidi-Mohammed Senouci, and Samira Moussaoui (2020). PRIVANET: An Efficient Pseudonym Changing and Management Framework for Vehicular Ad-Hoc Networks. IEEE Trans. Intell. Transp. Syst. 21(8), 3209-3218, 10.1109/TITS.2019.2924856, BibTeX
Hao Wang, Yan Yang, and Bing Liu (2020). GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32(6), 1116-1129, 10.1109/TKDE.2019.2903810, BibTeX
Ye-Zheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, and Xiangnan He (2020). Generative Adversarial Active Learning for Unsupervised Outlier Detection. IEEE Trans. Knowl. Data Eng. 32(8), 1517-1528, 10.1109/TKDE.2019.2905606, BibTeX
Jifu Zhang, Xiaolong Yu, Yaling Xun, Sulan Zhang, and Xiao Qin (2020). Scalable Mining of Contextual Outliers Using Relevant Subspace. IEEE Trans. Syst. Man Cybern. Syst. 50(3), 988-1002, 10.1109/TSMC.2017.2718592, BibTeX
Omar Iraqi, and Hanan El Bakkali (2020). Immunizer: A Scalable Loosely-Coupled Self-Protecting Software Framework using Adaptive Microagents and Parallelized Microservices. WETICE, 24-27, IEEE, 10.1109/WETICE49692.2020.00013, BibTeX
Bastian Pfeifer, Nikolaos Alachiotis, Pavlos Pavlidis, and Michael G. Schimek (2020). Genome scans for selection and introgression based on k ‐nearest neighbour techniques. Molecular Ecology Resources 20(6), 1597-1609, Wiley, 10.1101/752758
Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, and Johannes Fuchs (2020). Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Comput. Graph. Forum 39(3), 537-549, 10.1111/CGF.14000, BibTeX
Léonie A. E. Huijser, Vanessa Estrade, Imogen Webster, Laurent Mouysset, Adèle Cadinouche, and Violaine Dulau‐Drouot (2020). Vocal repertoires and insights into social structure of sperm whales ( Physeter macrocephalus ) in Mauritius, southwestern Indian Ocean. Marine Mammal Science 36(2), 638-657, Wiley, 10.1111/MMS.12673
Eugênio F. Cabral, and Robson L. F. Cordeiro (2020). Fast and Scalable Outlier Detection with Sorted Hypercubes. CIKM, 95-104, ACM, 10.1145/3340531.3412033, BibTeX
Massimiliano de Leoni, and Safa Dündar (2020). Event-log abstraction using batch session identification and clustering. SAC, 36-44, ACM, 10.1145/3341105.3373861, BibTeX
Bogdan Burlacu, Gabriel Kronberger, and Michael Kommenda (2020). Operon C++: an efficient genetic programming framework for symbolic regression. GECCO Companion, 1562-1570, ACM, 10.1145/3377929.3398099, BibTeX
Dominik Mautz, Wei Ye, Claudia Plant, and Christian Böhm (2020). Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Trans. Knowl. Discov. Data 14(5), 55:1-55:24, 10.1145/3385652, BibTeX
Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, and Mike Colagrosso (2020). Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD, 2416-2424, ACM, 10.1145/3394486.3403291, BibTeX
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, and Yang Yang (2020). Self-weighted Multi-view Fuzzy Clustering. ACM Trans. Knowl. Discov. Data 14(4), 48:1-48:17, 10.1145/3396238, BibTeX
Paul Blockhaus, David Broneske, Martin Schäler, Veit Köppen, and Gunter Saake (2020). Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data. SSDBM, 29:1-29:4, ACM, 10.1145/3400903.3401691, BibTeX
Minh-Ha Le, Md Sakib Nizam Khan, Georgia Tsaloli, Niklas Carlsson, and Sonja Buchegger (2020). AnonFACES: Anonymizing Faces Adjusted to Constraints on Efficacy and Security. WPES@CCS, 87-100, ACM, 10.1145/3411497.3420220, BibTeX
Jakub Peschel, Michal Batko, and Pavel Zezula (2020). Techniques for Complex Analysis of Contemporary Data. Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems, ACM, 10.1145/3415048.3416097
Hannes Rosenbusch, Leon P. Hilbert, Anthony M. Evans, and Marcel Zeelenberg (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science 3(2), 216-228, SAGE Publications, 10.1177/2515245920917950
Todd C. Jacobsen, Kevyn H. Wiskirchen, and Stephen S. Ditchkoff (2020). A novel method for detecting extra-home range movements (EHRMs) by animals and recommendations for future EHRM studies. PLOS ONE 15(11), e0242328, Public Library of Science (PLoS), 10.1371/journal.pone.0242328
Mujeeb Ur Rehman, and Dost Muhammad (2020). Local Neighborhood-based Outlier Detection of High Dimensional Data using different Proximity Functions. International Journal of Advanced Computer Science and Applications 11(4), The Science and Information Organization, 10.14569/IJACSA.2020.0110418
Sivam Pasupathipillai (2020). Modern Anomaly Detection: Benchmarking, Scalability and a Novel Approach. 1-117, Università degli studi di Trento, 10.15168/11572_281952
Hanna Wecker, Annemarie Friedrich, and Heike Adel (2020). ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation. Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, Association for Computational Linguistics, 10.18653/v1/2020.eval4nlp-1.15
Charolina Devi Oktaviana Soleman, Nyoman Pramaita, and Made Sudarma (2020). Classification Of Loyality Customer Using K-Means Clustering, Studi Case: PT. Sucofindo (Persero) Denpasar Branch. International Journal of Engineering and Emerging Technology 5(2), 164-171, 10.24843/IJEET.2020.v05.i02.p28
Ralph Götz (2020). Super-resolution microscopy of plasma membrane receptors and intracellular pathogens. Universität Würzburg, 10.25972/OPUS-20716
Παναγιώτα Κωτσάκη (2020). Διαχείριση Δεδομένων στις πλατφόρμες ΚΝΙΜE & WEKA. Πανεπιστήμιο Δυτικής Αττικής, 10.26265/polynoe-7
Hanan R. Alnjar (2020). Data visualization metrics between theoretic view and real implementations: A review. DYSONA - Applied Science 1(2), 43-50, E-NAMTILA, 10.30493/das.2020.216111
Marcus Grum, Eldar Sultanow, Daniel Friedmann, André Ullrich, and Norbert Gronau (2020). Tools des Maschinellen Lernens. GITO Verlag, 10.30844/grum_2020
Andre Kummerow, Cristian Monsalve, Christoph Brosinsky, Steffen Nicolai, and Dirk Westermann (2020). A Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems. Applied Sciences 10(15), 5209, Mdpi Ag, 10.3390/APP10155209
Christopher Brooke, and Ben Clutterbuck (2020). Mapping Heterogeneous Buried Archaeological Features Using Multisensor Data from Unmanned Aerial Vehicles. Remote. Sens. 12(1), 41, 10.3390/rs12010041, BibTeX
Jian Lin, Guan-hua Du, and Zhiyong Tian (2020). Interval Intuitionistic Fuzzy Clustering Algorithm Based on Symmetric Information Entropy. Symmetry 12(1), 79, 10.3390/SYM12010079, BibTeX
X. Han, C. Armenakis, and M. Jadidi (2020). Dbscan Optimization For Improving Marine Trajectory Clustering And Anomaly Detection. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020, 455-461, Copernicus GmbH, 10.5194/isprs-archives-xliii-b4-2020-455-2020
Benjamin Ertl, Jörg Meyer, Matthias Schneider, and Achim Streit (2020). CoExDBSCAN: Density-based Clustering with Constrained Expansion. KDIR, 104-115, SCITEPRESS, 10.5220/0010131201040115, BibTeX
Edouard Fouché (2020). Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams. 10.5445/IR/1000127232
Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, and Thomas Seidl (2020). Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. LWDA, 11-22, CEUR-WS.org, BibTeX
Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, and Ilan Shomorony (2020). Bandit-PAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits. CoRR abs/2006.06856, BibTeX
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, and Klaus-Robert Müller (2020). A Unifying Review of Deep and Shallow Anomaly Detection. CoRR abs/2009.11732, BibTeX
Michael Blumenschein (2020). Pattern-Driven Design of Visualizations for High-Dimensional Data. University of Konstanz, Germany, BibTeX
Сергій Францович Смерічевський, Serhii Frantsovych Smerichevskyi, Л. В. Савченко, and L.V. Savchenko (2020). Clusterization of urban territory for building an effective delivery sustem (Кластеризація міської території для побудови ефективної системи доставки). Wydawnictwo naukowe WSPIA, м. Познань, 978-83-60038-76-5
Axel Elmarsson, and Johan Grundberg (2020). A comparison of different R-tree construction techniques for range queries on neuromorphological data.
Ayşegül Selvi (2020). Bilecik ilinde ilköğretimden liseye geçiş sınavlarında makine öğrenmesi yöntemleri ile öğrenci başarısının tahmini (Predicting student achievement with machine learning methods in transition from primary to high school exams in Bi̇leci̇k province). Bilecik Şeyh Edebali Üniversitesi, Fen Bilimleri Enstitüsü
Chen Luo (2020). Some Rare LSH Gems for Large-scale Machine Learning. Rice University
Doney Abraham (2020). Application of Machine Learning in IoT enabled Smart Grids for Attack Detection. NTNU
Fatih Uzun (2020). Multidisciplinary investigation of C-Type composite sandwich radome panels within the scope of acoustic emission based damage characterization and electromagnetic transmission performance.
Gabriel Matas Barceló (2020). Introducció a l’anàlisi de dades damunt una SmartPlatform. Universitat de les Illes Balears
Georgios Kaiafas (2020). Ensemble Learning For Anomaly Detection With Applications For Cybersecurity And Telecommunication. University of Luxembourg, Luxembourg
James Luke Coyte (2020). Seated Whole Body Vibration Modelling using Inertial Motion Sensors. University of Wollongong
Jennifer Carmen Frey (2020). Using data mining to repurpose German language corpora. An evaluation of data-driven analysis methods for corpus linguistics. alma
Larkin Liu (2020). Algorithm for Two-Phase Facility Planning via Balanced Clustering and Integer Programming. arXiv 2009.02736
Mohaddeseh Peyro (2020). The Role of FG Nucleoporins Amino Acid Sequence Composition in Nucleocytoplasmic Transport. UC Berkeley
Pham Van Huong, Le Thi Hong Van, and Pham Sy Nguyen (2020). Detecting Web Attacks Based on Clustering Algorithm and Multi-branch CNN. Journal of Science and Technology on Information security 2(12), 31-37
Valerio García Palao (2020). Utilizando Topic Modeling para buscar términos relacionados.
Xiao Huang (2020). Learning From Attributed Networks - Embedding, Theory, and Interactions.
Παναγιώτης Κεχαγιάς (2020). Σχεδιασμός και ανάπτυξη παράλληλου αλγόριθμου συσταδοποίησης στο Apache Spark (Design and development of a parallel clustering algorithm on top of Apache Spark).

2019

Piotr A. Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, and Piotr Kulczycki (2019). Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm. Interactions Between Computational Intelligence and Mathematics (2), 83-98, Springer, 10.1007/978-3-030-01632-6_6, BibTeX
Dipesh Pradhan, and Feroz Zahid (2019). Data Center Clustering for Geographically Distributed Cloud Deployments. AINA Workshops, 1030-1040, Springer, 10.1007/978-3-030-15035-8_101, BibTeX
Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, and Junming Shao (2019). Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1), 276-291, Springer, 10.1007/978-3-030-18576-3_17, BibTeX
Altamir Gomes Bispo Junior, and Robson Leonardo Ferreira Cordeiro (2019). Fast and Scalable Outlier Detection with Metric Access Methods. ICCS (2), 189-203, Springer, 10.1007/978-3-030-22741-8_14, BibTeX
Daniel Popovic, Edouard Fouché, and Klemens Böhm (2019). Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data. ADBIS, 3-19, Springer, 10.1007/978-3-030-28730-6_1, BibTeX
Shuai Wang, Lei Hou, and Meihan Tong (2019). Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism. KSEM (2), 215-226, Springer, 10.1007/978-3-030-29563-9_20, BibTeX
Erich Schubert, and Peter J. Rousseeuw (2019). Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP, 171-187, Springer, 10.1007/978-3-030-32047-8_16, BibTeX
Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, and Thomas Seidl (2019). SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. SISAP, 221-230, Springer, 10.1007/978-3-030-32047-8_20, BibTeX
Srikanth Thudumu, Philip Branch, Jiong Jin, and Jugdutt Jack Singh (2019). Adaptive Clustering for Outlier Identification in High-Dimensional Data. ICA3PP (2), 215-228, Springer, 10.1007/978-3-030-38961-1_19, BibTeX
Sudarshan S. Chawathe (2019). Clustering Blockchain Data. Unsupervised and Semi-Supervised Learning, 43-72, Springer, 10.1007/978-3-319-97864-2_3
Dilip Singh Sisodia, Rahul Borkar, and Hari Shrawgi (2019). Performance Evaluation of Large Data Clustering Techniques on Web Robot Session Data. Machine Intelligence and Signal Analysis, 545-553, Springer, 10.1007/978-981-13-0923-6_47
Bilkis Jamal Ferdosi, and Muhammad Masud Tarek (2019). Visual Verification and Analysis of Outliers Using Optimal Outlier Detection Result by Choosing Proper Algorithm and Parameter. Emerging Technologies in Data Mining and Information Security, 507-517, Springer, 10.1007/978-981-13-1498-8_45
Liefa Liao, and Bin Luo (2019). Entropy Isolation Forest Based on Dimension Entropy for Anomaly Detection. Computational Intelligence and Intelligent Systems, 365-376, Springer, 10.1007/978-981-13-6473-0_32
C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh, and L.M. Jenila Livingston (2019). Big Data Analytics: Systems, Algorithms, Applications. Springer, 10.1007/978-981-15-0094-7
C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh, and L.M. Jenila Livingston (2019). Intelligent Systems. Big Data Analytics: Systems, Algorithms, Applications, 25-46, Springer, 10.1007/978-981-15-0094-7_2
Laura Aquilanti, Simone Cacace, Fabio Camilli, and Raul De Maio (2019). A Mean Field Games approach to Cluster Analysis. CoRR abs/1907.02261, 10.1007/s00245-019-09646-2, BibTeX
Félix Iglesias, Tanja Zseby, Daniel C. Ferreira, and Arthur Zimek (2019). MDCGen: Multidimensional Dataset Generator for Clustering. J. Classif. 36(3), 599-618, 10.1007/S00357-019-9312-3, BibTeX
Daniyal Kazempour, Markus Mauder, Peer Kröger, and Thomas Seidl (2019). Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. Distributed Parallel Databases 37(1), 39-72, 10.1007/s10619-018-7246-0, BibTeX
Ingmar Wiese, Nicole Sarna, Lena Wiese, Araek Tashkandi, and Ulrich Sax (2019). Concept acquisition and improved in-database similarity analysis for medical data. Distributed Parallel Databases 37(2), 297-321, 10.1007/s10619-018-7249-x, BibTeX
Ioan Dragan, Gabriel Iuhasz, and Dana Petcu (2019). A Scalable Platform for Monitoring Data Intensive Applications. J. Grid Comput. 17(3), 503-528, 10.1007/s10723-019-09483-1, BibTeX
Zahid Halim, and Jamal Hussain Khattak (2019). Density-based clustering of big probabilistic graphs. Evol. Syst. 10(3), 333-350, 10.1007/S12530-018-9223-2, BibTeX
Jonathan R. Wells, and Kai Ming Ting (2019). A new simple and efficient density estimator that enables fast systematic search. Pattern Recognit. Lett. 122, 92-98, 10.1016/j.patrec.2018.12.020, BibTeX
Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, and Marek Smieja (2019). Projected memory clustering. Pattern Recognit. Lett. 123, 9-15, 10.1016/j.patrec.2019.02.023, BibTeX
Catia F. Oliveira, Tiago Guimarães, Filipe Portela, and Manuel Santos (2019). Benchmarking Business Analytics Techniques in Big Data. EUSPN/ICTH, 690-695, Elsevier, 10.1016/j.procs.2019.11.026, BibTeX
Julian Oehling, and David J. Barry (2019). Using machine learning methods in airline flight data monitoring to generate new operational safety knowledge from existing data. Safety Science 114, 89-104, Elsevier BV, 10.1016/J.SSCI.2018.12.018
Cui Xie, Mingkui Li, Haoying Wang, and Junyu Dong (2019). A survey on visual analysis of ocean data. Vis. Informatics 3(3), 113-128, 10.1016/J.VISINF.2019.08.001, BibTeX
K. Dingle, A. Zimek, F. Azizieh, and A. R. Ansari (2019). Establishing a many-cytokine signature via multivariate anomaly detection. Scientific Reports 9(1), Springer Science and Business Media LLC, 10.1038/s41598-019-46097-9
Apostolos A. Karanastasis, Gopal S. Kenath, Ravishankar Sundararaman, and Chaitanya K. Ullal (2019). Quantification of functional crosslinker reaction kinetics via super-resolution microscopy of swollen microgels. Soft Matter 15(45), 9336-9342, Royal Society of Chemistry (RSC), 10.1039/C9SM01618J
Pedro Henrique Batista Ruas da Silveira, Alan D. Machado, Michelle C. Silva, Magali R. G. Meireles, Ana Maria Pereira Cardoso, Luis Enrique Zárate, and Cristiane Neri Nobre (2019). Identification and characterisation of Facebook user profiles considering interaction aspects. Behav. Inf. Technol. 38(8), 858-872, 10.1080/0144929X.2019.1566498, BibTeX
Luisa Sanz-Martínez, Erkan Er, Alejandra Martínez-Monés, Yannis Dimitriadis, and Miguel L. Bote-Lorenzo (2019). Creating collaborative groups in a MOOC: a homogeneous engagement grouping approach. Behav. Inf. Technol. 38(11), 1107-1121, 10.1080/0144929X.2019.1571109, BibTeX
Xu Yang, Lingxi Zhu, Sio Lam, Laurie Cuthbert, and Yapeng Wang (2019). Comparison of clustering methods for identification of outdoor measurements in pollution monitoring. IOP Conference Series: Earth and Environmental Science 257, 012014, IOP Publishing, 10.1088/1755-1315/257/1/012014
Hongzhi Wang, Mohamed Jaward Bah, and Mohamed Hammad (2019). Progress in Outlier Detection Techniques: A Survey. IEEE Access 7, 107964-108000, 10.1109/ACCESS.2019.2932769, BibTeX
Maycon Leone Maciel Peixoto, Erick Roseira Pinheiro, Tácito Trindade de Araújo Tiburtino Neves, and Danilo Barbosa Coimbra (2019). Multidimensional Projections Analysis Using Performance Evaluation Planning. BRACIS, 156-161, IEEE, 10.1109/BRACIS.2019.00036, BibTeX
Preeti Mishra, Vijay Varadharajan, Udaya Kiran Tupakula, and Emmanuel S. Pilli (2019). A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection. IEEE Commun. Surv. Tutorials 21(1), 686-728, 10.1109/COMST.2018.2847722, BibTeX
B.S.A.S. Rajita, and Subhrakanta Panda (2019). Community Detection Techniques for Evolving Social Networks. 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 10.1109/CONFLUENCE.2019.8776896
Arian Soltani, Behzad Akbari, and Nader Mokari (2019). User Profile-based Caching in 5G Telco-CDNs. CloudNet, 1-6, IEEE, 10.1109/CloudNet47604.2019.9064113, BibTeX
Ömer Ibrahim Erduran, Mirjam Minor, Lars Hedrich, Ahmad Tarraf, Frederik Ruehl, and Hans Schroth (2019). Multi-agent Learning for Energy-Aware Placement of Autonomous Vehicles. ICMLA, 1671-1678, IEEE, 10.1109/ICMLA.2019.00273, BibTeX
Abdelwahab Boualouache, Ridha Soua, and Thomas Engel (2019). VPGA: An SDN-based Location Privacy Zones Placement Scheme for Vehicular Networks. IPCCC, 1-8, IEEE, 10.1109/IPCCC47392.2019.8958746, BibTeX
Attila Tiba, Zsombor Bartik, Henrietta Tomán, and András Hajdu (2019). Detecting outlier and poor quality medical images with an ensemble-based deep learning system. ISPA, 99-104, IEEE, 10.1109/ISPA.2019.8868911, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2019). Evaluation of Anomaly Detection Algorithms Made Easy with RELOAD. ISSRE, 446-455, IEEE, 10.1109/ISSRE.2019.00051, BibTeX
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2019). An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection. SERVICES, 99-104, IEEE, 10.1109/SERVICES.2019.00031, BibTeX
Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, and Qingming Huang (2019). Split Multiplicative Multi-View Subspace Clustering. IEEE Trans. Image Process. 28(10), 5147-5160, 10.1109/TIP.2019.2913096, BibTeX
Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, and Marimuthu Palaniswami (2019). A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Trans. Knowl. Data Eng. 31(4), 641-654, 10.1109/TKDE.2018.2842191, BibTeX
Wenqiang Cui (2019). Visual Analytics: A Comprehensive Overview. IEEE Access 7, 81555-81573, IEEE, 10.1109/access.2019.2923736
Kaize Ding, Jundong Li, and Huan Liu (2019). Interactive Anomaly Detection on Attributed Networks. WSDM, 357-365, ACM, 10.1145/3289600.3290964, BibTeX
Filipe Falcão, Tommaso Zoppi, Caio Barbosa Viera Silva, Anderson Santos, Baldoino Fonseca, Andrea Ceccarelli, and Andrea Bondavalli (2019). Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection. SAC, 318-327, ACM, 10.1145/3297280.3297314, BibTeX
Stephen Pauwels, and Toon Calders (2019). An anomaly detection technique for business processes based on extended dynamic bayesian networks. SAC, 494-501, ACM, 10.1145/3297280.3297326, BibTeX
Ambika Shrestha Chitrakar, and Slobodan Petrović (2019). Efficient k-means Using Triangle Inequality on Spark for Cyber Security Analytics. Proceedings of the ACM International Workshop on Security and Privacy Analytics - IWSPA ‘19, ACM Press, 10.1145/3309182.3309187
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, and Maryam Amir Haeri (2019). Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion), 167-168, ACM, 10.1145/3319619.3322018, BibTeX
Edouard Fouché, and Klemens Böhm (2019). Monte Carlo Dependency Estimation. SSDBM, 13-24, ACM, 10.1145/3335783.3335795, BibTeX
Daniyal Kazempour, and Thomas Seidl (2019). On systematic hyperparameter analysis through the example of subspace clustering. SSDBM, 226-229, ACM, 10.1145/3335783.3335804, BibTeX
Klaus Arthur Schmid, and Andreas Züfle (2019). Representative Query Answers on Uncertain Data. SSTD, 140-149, ACM, 10.1145/3340964.3340974, BibTeX
Xiaodan Xu, Huawen Liu, and Minghai Yao (2019). Recent Progress of Anomaly Detection. Complex. 2019, 2686378:1-2686378:11, 10.1155/2019/2686378, BibTeX
Omar Iraqi, and Hanan El Bakkali (2019). Application-Level Unsupervised Outlier-Based Intrusion Detection and Prevention. Secur. Commun. Networks 2019, 8368473:1-8368473:13, 10.1155/2019/8368473, BibTeX
Tomáš Farkaš, Jozef Sitarčík, Broňa Brejová, and Mária Lucká (2019). SWSPM: A Novel Alignment-Free DNA Comparison Method Based on Signal Processing Approaches. Evolutionary Bioinformatics 15, 117693431984907, SAGE Publications, 10.1177/1176934319849071
Junpeng Wang, Xiaotong Liu, and Han-Wei Shen (2019). High-dimensional data analysis with subspace comparison using matrix visualization. Inf. Vis. 18(1), 10.1177/1473871617733996, BibTeX
Sanna Aronsson, Henrik Artman, Sinna Lindquist, Mikael Mitchell, Tomas Persson, Robert Ramberg, Mario Romero, and Pontus ter Vehn (2019). Supporting after action review in simulator mission training: Co-creating visualization concepts for training of fast-jet fighter pilots. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 154851291882329, SAGE Publications, 10.1177/1548512918823296
Thomas Charlon (2019). Genetic clustering for the discovery of a new classification of systemic autoimmune diseases. University of Geneva, 10.13097/archive-ouverte/unige:161795
Claes Neuefeind (2019). Muster und Bedeutung: Bedeutungskonstitution als kontextuelle Aktivierung im Vektorraum. Modern Academic Publishing, 10.16994/bam
Daniyal Kazempour, Maksim Kazakov, Peer Kröger, and Thomas Seidl (2019). DICE: Density-based Interactive Clustering and Exploration. BTW, 547-550, Gesellschaft für Informatik, Bonn, 10.18420/btw2019-42, BibTeX
Michael Hahsler, Matthew Piekenbrock, and Derek Doran (2019). dbscan: Fast Density-Based Clustering with R. Journal of Statistical Software 91(1), 1-30, 10.18637/jss.v091.i01
Ahmed Abbood Ali, Ahmed Raee AL-Mhanawi, and Aqeel Kamil Kadhim (2019). Dynamic filtering of malicious records using machine learning integrated databases. Periodicals of Engineering and Natural Sciences (PEN) 7(4), 1667, International University of Sarajevo, 10.21533/pen.v7i4.898
Eka Arriyanti, Ita Arfyanti, and Pitrasacha Adytia (2019). Spatial Coordinate Trial: Converting Non-Spatial Data Dimension for DBSCAN. 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, 10.23919/EECSI48112.2019.8977130
Zhiqiang Zhang, Yichao Hu, Songtao Ye, Binbin Nie, and Sen Tian (2019). Local linear regression-based unsupervised truth discovery. Intell. Data Anal. 23(3), 573-585, 10.3233/IDA-184106, BibTeX
Lukas Hardi, and Ulrich Wagner (2019). Grocery Delivery or Customer Pickup—Influences on Energy Consumption and CO2 Emissions in Munich. Sustainability 11(3), 641, Mdpi Ag, 10.3390/su11030641
Mohammed Alhanjouri, and Ahmed Alghoul (2019). Integrating Bat Algorithm to Inverse Weighted K-means. International Journal of Recent Technology and Engineering (IJRTE) 8(2), 2019, 10.35940/ijrte.b3564.078219.
Meiyu Cui, Jing Wan, Yunbin He, and Song Li (2019). Uncertain Data Clustering Algorithm Based on Grid in Obstacle Space. Journal of Frontiers of Computer Science & Technology 13(3), 408, 10.3778/j.issn.1673-9418.1805010
Catherine Dawson (2019). A–Z of Digital Research Methods. Routledge, 10.4324/9781351044677
Xiao Qin, Lei Cao, Elke A. Rundensteiner, and Samuel Madden (2019). Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. EDBT, 421-432, OpenProceedings.org, 10.5441/002/edbt.2019.37, BibTeX
Daniyal Kazempour, and Thomas Seidl (2019). Insights into a running clockwork: On interactive process-aware clustering. EDBT, 706-709, OpenProceedings.org, 10.5441/002/edbt.2019.92, BibTeX
Alexandr Diadiushkin, Kurt Sandkuhl, and Alexander Maiatin (2019). Fraud Detection in Payments Transactions: Overview of Existing Approaches and Usage for Instant Payments. Complex Syst. Informatics Model. Q. 20, 72-88, 10.7250/csimq.2019-20.04, BibTeX
Wenying Ji (2019). Simulation-Based Analytics for Fabrication Quality-Associated Decision Support. CoRR abs/1903.10565, 10.7939/R3HX16598, BibTeX
Sevvandi Kandanaarachchi, Mario A. Muñoz, and Kate Smith-Miles (2019). Instance Space Analysis for Unsupervised Outlier Detection. EDML@SDM, 32-41, CEUR-WS.org, BibTeX
Yue Zhao, Zain Nasrullah, and Zheng Li (2019). PyOD: A Python Toolbox for Scalable Outlier Detection. CoRR abs/1901.01588, BibTeX
Erich Schubert, and Arthur Zimek (2019). ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 “Heidelberg”. CoRR abs/1902.03616, BibTeX
Massimiliano de Leoni (2019). From Low-Level Events to Activities - A Session-Based Approach (Extended Version). CoRR abs/1903.03993, BibTeX
Fabien André, Anne-Marie Kermarrec, and Nicolas Le Scouarnec (2019). Derived Codebooks for High-Accuracy Nearest Neighbor Search. CoRR abs/1905.06900, BibTeX
Zhipeng Li, Jianwei Wu, Lin Sun, and Tao Rong (2019). Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning. CoRR abs/1907.08686, BibTeX
Yuening Li, Daochen Zha, Na Zou, and Xia Hu (2019). PyODDS: An End-to-End Outlier Detection System. CoRR abs/1910.02575, BibTeX
Akira Inokuchi, Yusuf Sulistyo Nugroho, Fumiaki Konishi, Hideaki Hata, Akito Monden, and Kenichi Matsumoto (2019). From Academia to Software Development: Publication Citations in Source Code Comments. CoRR abs/1910.06932, BibTeX
Maximilian Franzke (2019). Querying and mining heterogeneous spatial, social, and temporal data. Ludwig Maximilian University of Munich, Germany, BibTeX
Marwan Kilani (2019). Appendices. Byblos in the Late Bronze Age, Brill, 978-90-04-41660-4
Hana Řezanková, and Richard Novák (2019). Effect of ordinal variable transformations on hierarchical clustering results: A case study on the Big Data phenomenon. 22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 2019), Atlantis Press, 978-94-6252-804-8
Rebecca Lee Hammons, and Ronald J. Kovac (2019). Fundamentals of Internet of Things for Non-Engineers. CRC Press, 9781000000344
Adrià Correas Grifoll (2019). Study and implementation of Machine Learning algorithms optimized for distributed multidimensional indexing databases. Universitat Politècnica de Catalunya
Altamir Gomes Bispo Junior (2019). Fast and Scalable Outlier Detection with Metric Access Methods. Biblioteca Digital de Teses e Dissertações da Universidade de São Paulo
Anderson Santos da Silva (2019). A framework of unsupervised techniques for anomaly-based intrusion detection (Um framework de técnicas não supervisionadas para detecção de intrusão baseada em anomalias). Universidade Federal de Alagoas
Anis Sharafoddini (2019). Toward Precision Medicine in Intensive Care: Leveraging Electronic Health Records and Patient Similarity. University of Waterloo
Anna Ruggero (2019). Entity search: How to build virtual documents leveraging on graph embeddings.
Benjamin Heinzerling (2019). Aspects of Coherence for Entity Analysis.
Boleslo Edward Romero (2019). Identifying Geographical Features with Spatial Data: Multi-scale Approaches for Representing Local Extrema. UC Santa Barbara
Denis A. SYROMYATNIKOV, Darya A. PYATKINA, Larisa N. KONDRATENKO, Sergey I. KRIVOLAPOV, and Diana I. STEPANOVA (2019). Big data analysis for studying water supply and sanitation coverage in cities. Revista ESPACIOS 40(27)
Emeli Pettersson, and Albin Carlson (2019). Att hitta en nål i en höstack: Metoder och tekniker för att sålla och gradera stora mängder ostrukturerad textdata (Finding a Needle in a Haystack: Methods and techniques for screening and grading large amounts of unstructured textual data). Malmö universitet/Teknik och samhälle
Guansong Pang (2019). Non-IID outlier detection with coupled outlier factors.
Hatice AKTAŞ GÖKÇE (2019). Yapay Sinir Ağları ile Robotik Cerrahi Operasyonu Geçirmiş Prostat Kanserli Bireylerde Nüks Durumunun İncelenmesi (Investigation of the Recurrence Status in Prostate Cancer Individuals with Robotic Surgery with Artificial Neural Network). Ankara Yıldırım Beyazıt Üniversitesi Sağlık Bilimleri Enstitüsü
Igor Wescley Silva de Freitas (2019). Um estudo comparativo de técnicas de detecção de outliers no contexto de classificação de dados. Universidade Federal Rural do Semi-Árido
José David Jácome Escobar, and Estalin Augusto Viracocha Andrade (2019). Desarrollo de una aplicación para detección de patrones en imágenes mediante el uso de aprendizaje profundo. Quito: UCE
Lars Jürgensen (2019). Clustering and Analysis of User Behaviors utilizing a Graph Edit Distance Metric. 48, Kiel University
M. Mahmoudi, and نگین دانشپور (2019). A Distributed Solution for Mixed Big Data Clustering. Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran 66(3), 169, Iranian Research Institute for Electrical Engineering
Marie Ernst (2019). Contributions to spatial data analysis and Stein’s method. Université de Liège, Liège, Belgique
Marián Lamr (2019). Včasné varování před zvýšeným rizikem vzniku dopravní nehody s využitím data miningu.
Matthew C. Recker (2019). Enabling Mobile Neutron Detection Systems with CLYC. Air Force Institute of Technology
Morteza Mousavi Barroudi (2019). Spatio-Temporal Partitioning and Location Prediction in GPS Trajectory Data.
Patrícia Freitas Pelozo Hespanhol (2019). Análise de padrões na produção de cana de açúcar utilizando aprendizado de máquina (Analysis on sugar cane production using machine learning). Universidade Estadual Paulista (UNESP)
Sebastian Letschert (2019). Quantitative Analysis of Membrane Components using Super-Resolution Microscopy. Universität Würzburg, Fakultät für Biologie
Xiao Yi, Mircea Scutariu, and Kenneth Smith (2019). Optimisation of offshore wind farm inter-array collection system. IET Renewable Power Generation 13(11), 1990-1999, IET Digital Library
Yikai Gong (2019). A big data infrastructure for real-time traffic analytics on the cloud.
Παναγιώτης Διέννης, and Αλέξανδρος Μπολοβίνος (2019). Εργαλεία ανάλυσης και οπτικοποίησης δεδομένων σε συστήματα επιχειρηματικής ευφυΐας. ΤΕΙ Δυτικής Ελλάδας
Д. О. Писаренко (2019). Ансамбль нейро-фаззі систем для потокової обробки даних. ХНУРЕ
М. С. Волошин (2019). Дослідження методів кластеризації трас журналів подій в проектах інтелектуального аналізу процесів.
丁志成, DING Zhicheng, 葛洪伟, GE Hongwei, 周竞, and ZHOU Jing (2019). 基于Kl散度的密度峰值聚类算法. 重庆邮电大学学报(自然科学版)
程绵绵, CHENG Mianmian, 孙群, SUN Qun, 李少梅, LI Shaomei, 徐立, and XU Li (2019). 顾及密度对比的多层次聚类点群选取方法. 武汉大学学报·信息科学版

2018

Arthur Zimek, and Peter Filzmoser (2018). There and back again: Outlier detection between statistical reasoning and data mining algorithms. WIREs Data Mining Knowl. Discov. 8(6), 10.1002/widm.1280, BibTeX
Arthur Zimek, and Erich Schubert (2018). Outlier Detection. Encyclopedia of Database Systems (2nd ed.), Springer, 10.1007/978-1-4614-8265-9_80719, BibTeX
Mark Wickham (2018). Machine Learning Environments. Practical Java Machine Learning, 227-295, Apress, 10.1007/978-1-4842-3951-3_5
Huixiao Hong, Jieqiang Zhu, Minjun Chen, Ping Gong, Chaoyang Zhang, and Weida Tong (2018). Quantitative Structure–Activity Relationship Models for Predicting Risk of Drug-Induced Liver Injury in Humans. Drug-Induced Liver Toxicity, 77-100, Springer, 10.1007/978-1-4939-7677-5_5
Adam Byron (2018). Proteomic Profiling of Integrin Adhesion Complex Assembly. Methods in Molecular Biology, 193-236, Springer, 10.1007/978-1-4939-7759-8_13
Michael E. Houle, Erich Schubert, and Arthur Zimek (2018). On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP, 177-191, Springer, 10.1007/978-3-030-02224-2_14, BibTeX
Michael Richter, Jürgen Hermes, and Claes Neuefeind (2018). Aspectual Classifications: Use of Raters’ Associations and Co-occurrences of Verbs for Aspectual Classification in German. ICAART (Revised Selected Papers), 467-491, Springer, 10.1007/978-3-030-05453-3_22, BibTeX
Arno G. Stefani, Achim Sandmann, Andreas Burkovski, Johannes B. Huber, Heinrich Sticht, and Christophe Jardin (2018). Application of Methods from Information Theory in Protein-Interaction Analysis. Lecture Notes in Bioengineering, 293-313, Springer, 10.1007/978-3-319-54729-9_13
Helmut Neukirchen (2018). Elephant Against Goliath: Performance of Big Data Versus High-Performance Computing DBSCAN Clustering Implementations. Simulation Science, 251-271, Springer, 10.1007/978-3-319-96271-9_16
Meiling Zhu, Chen Liu, and Yanbo Han (2018). An Event Correlation Based Approach to Predictive Maintenance. APWeb/WAIM (2), 232-247, Springer, 10.1007/978-3-319-96893-3_18, BibTeX
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, and Francisco Herrera (2018). Data Intrinsic Characteristics. Learning from Imbalanced Data Sets, 253-277, Springer, 10.1007/978-3-319-98074-4_10
Salma Jamal, Sukriti Goyal, Abhinav Grover, and Asheesh Shanker (2018). Machine Learning: What, Why, and How?. Bioinformatics: Sequences, Structures, Phylogeny, 359-374, Springer, 10.1007/978-981-13-1562-6_16
Ahmed AlEroud, and Aryya Gangopadhyay (2018). Multimode co-clustering for analyzing terrorist networks. Inf. Syst. Frontiers 20(5), 1053-1074, 10.1007/s10796-016-9712-4, BibTeX
Jakub Sawicki, Marcin Los, Maciej Smolka, Robert Schaefer, and Julen Álvarez-Aramberri (2018). Approximating landscape insensitivity regions in solving ill-conditioned inverse problems. Memetic Comput. 10(3), 279-289, 10.1007/s12293-018-0258-5, BibTeX
Joice K. Joseph, Karunakaran Akhil Dev, A.P. Pradeepkumar, and Mahesh Mohan (2018). Big Data Analytics and Social Media in Disaster Management. Integrating Disaster Science and Management, 287-294, Elsevier, 10.1016/B978-0-12-812056-9.00016-6
Anitha Ramchandran, and Arun Kumar Sangaiah (2018). Unsupervised Anomaly Detection for High Dimensional Data—an Exploratory Analysis. Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, 233-251, Elsevier, 10.1016/B978-0-12-813314-9.00011-6
C. Yilmaz, C. Akalin, I. Gunal, H. Celik, Murat Buyuk, A. Suleman, and M. Yildiz (2018). A hybrid damage assessment for E-and S-glass reinforced laminated composite structures under in-plane shear loading. Composite Structures 186, 347-354, Elsevier BV, 10.1016/J.COMPSTRUCT.2017.12.023
Yannis Papanikolaou, Grigorios Tsoumakas, and Ioannis Katakis (2018). Hierarchical partitioning of the output space in multi-label data. Data Knowl. Eng. 116, 42-60, 10.1016/j.datak.2018.05.003, BibTeX
Andreas Solti, Manuel Raffel, Giovanni Romagnoli, and Jan Mendling (2018). Misplaced product detection using sensor data without planograms. Decis. Support Syst. 112, 76-87, 10.1016/j.dss.2018.06.006, BibTeX
Sarah Shukri, Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, and Ajith Abraham (2018). Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer. Eng. Appl. Artif. Intell. 72, 54-66, 10.1016/j.engappai.2018.03.013, BibTeX
Mohammad Khan Afridi, Nouman Azam, Jingtao Yao, and Eisa Alanazi (2018). A three-way clustering approach for handling missing data using GTRS. Int. J. Approx. Reason. 98, 11-24, 10.1016/j.ijar.2018.04.001, BibTeX
Kummerow André, Nicolai Steffen, and Bretschneider Peter (2018). Outlier Detection Methods for Uncovering of Critical Events in Historical Phasor Measurement Records. E3S Web of Conferences 64, 08006, EDP Sciences, 10.1051/e3sconf/20186408006
Wenying Ji, Simaan M. AbouRizk, Osmar R. Zaïane, and Yitong Li (2018). Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering. Journal of Construction Engineering and Management 144(8), 04018063, American Society of Civil Engineers (ASCE), 10.1061/(ASCE)CO.1943-7862.0001520
S A Rylov, and I A Pestunov (2018). Fast hierarchical clustering of multispectral images and its implementation on NVIDIA GPU. Journal of Physics: Conference Series 1096, 012039, IOP Publishing, 10.1088/1742-6596/1096/1/012039
Omid Rajabi Shishvan, Daphney-Stavroula Zois, and Tolga Soyata (2018). Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey. IEEE Access 6, 46419-46494, 10.1109/ACCESS.2018.2866049, BibTeX
Xuan-Hong Dang, Raji Akella, Somaieh Bahrami, Vadim Sheinin, and Petros Zerfos (2018). Unsupervised Threshold Autoencoder to Analyze and Understand Sentence Elements. IEEE BigData, 3267-3276, IEEE, 10.1109/BigData.2018.8622379, BibTeX
Yanbo Han, Meiling Zhu, and Chen Liu (2018). A Service-Oriented Approach to Modeling and Reusing Event Correlations. COMPSAC (1), 498-507, IEEE, 10.1109/COMPSAC.2018.00077, BibTeX
Jingyu Sun, Masato Kamiya, and Susumu Takeuchi (2018). Introducing Hierarchical Clustering with Real Time Stream Reasoning into Semantic-Enabled IoT. COMPSAC (2), 540-545, IEEE, 10.1109/COMPSAC.2018.10291, BibTeX
Cédric Buche, Cindy Even, and Julien Soler (2018). Autonomous Virtual Player in a Video Game Imitating Human Players: The ORION Framework. CW, 108-113, IEEE, 10.1109/CW.2018.00029, BibTeX
Pavol Mulinka, Pedro Casas, and Lukas Kencl (2018). Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering. CloudNet, 1-7, IEEE, 10.1109/CloudNet.2018.8549558, BibTeX
Dilip Singh Sisodia, Radhika Khandelwal, and Arti Anuragi (2018). Categorization Performance of Unsupervised Learning Techniques for Web Robots Sessions. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 10.1109/ICIRCA.2018.8597200
Dilip Singh Sisodia, and Akanksha Verma (2018). Performance of Unsupervised Learning Algorithms for Online Document Clustering. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 10.1109/ICIRCA.2018.8597378
Sirisup Laohakiat, Photchanan Ratanajaipan, Leenhapat Navaravong, Rachanee Ungrangsi, and Krissada Maleewong (2018). A Fuzzy Density-based Incremental Clustering Algorithm. JCSSE, 1-5, IEEE, 10.1109/JCSSE.2018.8457385, BibTeX
Andre Kummerow, Steffen Nicolai, and Peter Bretschneider (2018). Ensemble approach for automated extraction of critical events from mixed historical PMU data sets. 2018 IEEE Power & Energy Society General Meeting (PESGM), IEEE, 10.1109/PESGM.2018.8586641
Tommaso Zoppi, Andrea Ceccarelli, and Andrea Bondavalli (2018). On Algorithms Selection for Unsupervised Anomaly Detection. PRDC, 279-288, IEEE, 10.1109/PRDC.2018.00050, BibTeX
Pinjia He, Jieming Zhu, Shilin He, Jian Li, and Michael R. Lyu (2018). Towards Automated Log Parsing for Large-Scale Log Data Analysis. IEEE Trans. Dependable Sec. Comput. 15(6), 931-944, 10.1109/TDSC.2017.2762673, BibTeX
Huawen Liu, Xuelong Li, Jiuyong Li, and Shichao Zhang (2018). Efficient Outlier Detection for High-Dimensional Data. IEEE Trans. Syst. Man Cybern. Syst. 48(12), 2451-2461, 10.1109/TSMC.2017.2718220, BibTeX
Yoshihiro Okada (2018). Time-Tunnel: 3D Visualization Tool and Its Aspects as 3D Parallel Coordinates. IV, 50-55, IEEE, 10.1109/iV.2018.00019, BibTeX
Ruchi Sharma, and Pravin Srinath (2018). Business Intelligence using Machine Learning and Data Mining techniques - An analysis. 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 10.1109/ICECA.2018.8474847
Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Ye Zhu, and Jonathan R. Wells (2018). Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. 34(4), 968-998, 10.1111/coin.12156, BibTeX
Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu (2018). Exploring Expert Cognition for Attributed Network Embedding. WSDM, 270-278, ACM, 10.1145/3159652.3159655, BibTeX
Payam Karisani, and Eugene Agichtein (2018). Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media. WWW, 137-146, ACM, 10.1145/3178876.3186055, BibTeX
Chen Luo, and Anshumali Shrivastava (2018). Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge. WWW, 1439-1448, ACM, 10.1145/3178876.3186056, BibTeX
Dominik Mautz, Wei Ye, Claudia Plant, and Christian Böhm (2018). Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD, 1973-1982, ACM, 10.1145/3219819.3219945, BibTeX
Erich Schubert, and Michael Gertz (2018). Numerically stable parallel computation of (co-)variance. SSDBM, 10:1-10:12, ACM, 10.1145/3221269.3223036, BibTeX
Eva Tuba, Raka Jovanovic, Romana Capor-Hrosik, Adis Alihodzic, and Milan Tuba (2018). Web Intelligence Data Clustering by Bare Bone Fireworks Algorithm Combined with K-Means. WIMS, 7:1-7:8, ACM, 10.1145/3227609.3227650, BibTeX
Youcef Djenouri, and Arthur Zimek (2018). Outlier Detection in Urban Traffic Data. WIMS, 3:1-3:12, ACM, 10.1145/3227609.3227692, BibTeX
Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, and Sahaana Suri (2018). MacroBase: Prioritizing Attention in Fast Data. ACM Trans. Database Syst. 43(4), 15:1-15:45, 10.1145/3035918.3035928, BibTeX
星野綾子, and 細見格 (2018). 句構造解析とクラスタリングを用いた会話履歴の要約. 人工知能学会全国大会論文集第32回全国大会(2018), 2K102-2K102, 一般社団法人人工知能学会, 10.11517/pjsai.JSAI2018.0_2K102
Bastian Hornung, Vitor A. P. Martins dos Santos, Hauke Smidt, and Peter J. Schaap (2018). Studying microbial functionality within the gut ecosystem by systems biology. Genes & Nutrition 13(1), Springer, 10.1186/s12263-018-0594-6
Jay Patel, and Vikram Singh (2018). Query Morphing: An Interactive Technique for Data Exploration and Query. 10.13140/RG.2.2.19477.78562
K. Ashesh, and Dr. G. Appa Rao (2018). Distributed Mining of Outliers from Large Multi-Dimensional Databases. International Journal of Engineering & Technology 7(4.7), 292, Science Publishing Corporation, 10.14419/ijet.v7i4.7.20564
Wookey Lee, and Woong-Kee Loh (2018). G-OPTICS: fast ordering density-based cluster objects using graphics processing units. IJWGS 14(3), 273-287, 10.1504/IJWGS.2018.092583, BibTeX
I.Y. Grishanova, , J.V. Rogushina, and (2018). Technological solutions for intelligent analysis of Big Data. Programming languages. Problems In Programming, 045-058, Co. Ltd. Ukrinformnauka, 10.15407/pp2018.04.045
Bastian V.H. Hornung (2018). Interactive functional networks in microbiota. Wageningen UR Facilitair Bedrijf, 10.18174/456782
Luis Alexander Calvo-Valverde, and Alonso Vallejos-Peña (2018). Algoritmo semisupervisado de agrupamiento que combina SUBCLU y el agrupamiento basado en restricciones, para la detección de grupos en conjuntos de alta dimensionalidad. Revista Tecnología en Marcha 31(3), Instituto Tecnologico de Costa Rica, 10.18845/tm.v31i3.3904
Shaherin Basith, Minghua Cui, Stephani J.Y. Macalino, and Sun Choi (2018). Expediting the Design, Discovery and Development of Anticancer Drugs using Computational Approaches. Current Medicinal Chemistry 24(42), Bentham Science Publishers Ltd. 10.2174/0929867323666160902160535
Xiaodan Xu, Huawen Liu, Li Li, and Minghai Yao (2018). A Comparison of Outlier Detection Techniques for High-Dimensional Data. Int. J. Comput. Intell. Syst. 11(1), 652-662, 10.2991/ijcis.11.1.50, BibTeX
Meiling Zhu, and Chen Liu (2018). A Correlation Driven Approach with Edge Services for Predictive Industrial Maintenance. Sensors 18(6), 1844, 10.3390/s18061844, BibTeX
Christian Sand, Tobias Lechler, Patricia Schuh, and Jörg Franke (2018). Potentials for Error Detection and Process Visualization in Assembly Lines Using a Parallel Coordinates Plot. Applied Mechanics and Materials 882, 10-16, Trans Tech Publications, 10.4028/www.scientific.net/AMM.882.10
Simon Ruske, David O. Topping, Virginia E. Foot, Andrew P. Morse, and Martin W. Gallagher (2018). Machine learning for improved data analysis of biological aerosol using the WIBS. Atmospheric Measurement Techniques Discussions, 1-19, Copernicus GmbH, 10.5194/amt-11-6203-2018
Jürgen Hermes, Michael Richter, and Claes Neuefeind (2018). Supervised Classification of Aspectual Verb Classes in German - Subcategorization-Frame-Based vs Window-Based Approach: A Comparison. ICAART (2), 653-662, SciTePress, 10.5220/0006728106530662, BibTeX
Minh-Anh Le (2018). Anomaly Detection using Machine Learning Methods Implementation and Benchmark Analysis of Selected Methods and Tuning Criteria. 10.5282/ubm/epub.58320
D. Sudaroli Vijayakumar, and Sannasi Ganapathy (2018). Machine Learning Approach to Combat False Alarms in Wireless Intrusion Detection System. Comput. Inf. Sci. 11(3), 67-81, 10.5539/cis.v11n3p67, BibTeX
Vladimir Kurbalija, Mirjana Ivanovic, Zoltan Geler, and Milos Radovanovic (2018). Two Faces of the Framework for Analysis and Prediction, Part 2 - Research. Inf. Technol. Control. 47(3), 489-502, 10.5755/j01.itc.47.3.18747, BibTeX
Hong Yu, Tiantian Zhang, Yahong Lian, and Yu Cai (2018). Co-regularized Multi-view Subspace Clustering. ACML, 17-32, PMLR, BibTeX
Erich Schubert, Andreas Spitz, and Michael Gertz (2018). Exploring Significant Interactions in Live News. NewsIR@ECIR, 39-44, CEUR-WS.org, BibTeX
Erich Schubert, and Michael Gertz (2018). Improving the Cluster Structure Extracted from OPTICS Plots. LWDA, 318-329, CEUR-WS.org, BibTeX
Erich Schubert, Sibylle Hess, and Katharina Morik (2018). The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA, 330-334, CEUR-WS.org, BibTeX
Stephen Pauwels, and Toon Calders (2018). Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. CoRR abs/1805.07107, BibTeX
Roberto Pirrone, Vincenzo Cannella, Sergio Monteleone, and Gabriella Giordano (2018). Linear density-based clustering with a discrete density model. CoRR abs/1807.08158, BibTeX
Wei Ye (2018). Data mining using concepts of independence, unimodality and homophily. Ludwig Maximilian University of Munich, Germany, BibTeX
Slimane Oulad-Naoui (2018). Fouille de motifs: formalisation et unification. (Pattern Mining: Formalisation and Unification). University of Laghouat, Algeria, BibTeX
AshishSingh Bhatia, and Bostjan Kaluza (2018). Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition. Packt Publishing Ltd, 9781788473897
Richard M. Reese, and AshishSingh Bhatia (2018). Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP, 2nd Edition. Packt Publishing Ltd, 9781788993067
Olcay Uçak (2018). Dijital Medya ve Gazetecilik. Eğitim Yayınevi, 9789752475915
Alfonso Román y Zubeldia (2018). Implementación de pruebas para una hipótesis sobre la aplicación de distancia Euclidiana para realizar agrupamientos en espacios multidimensionales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas
Aline Tavares Melo (2018). Integrated quantitative interpretation of multiple geophysical data for geology differentiation. Colorado School of Mines. Arthur Lakes Library
Angie Cristina Pinto Chamorro, and Víctor Marcelo Zambrano Morocho (2018). Plataforma Tecnológica Para Contribuir La Planeación Urbana En La Ciudad De Guayaquil Dirigido A La Transportación, Enfocado A La Implementación De Algoritmos De Análisis De Trayectoria. Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería En Sistemas Computacionales
Carlos Humberto Apolaya Torres, and Adolfo Espinosa Diaz (2018). Técnicas de inferencias, predicción y minería de datos. Universidad Peruana de Ciencias Aplicadas (UPC)
Dušan HETLEROVIĆ (2018). Detekce anomálií v klasifikovaných datech: Vyhodnocování [online].
Elvis Ricardo Tapia Aparicio (2018). Modelo de minería de datos para identificación de patrones que influyen en el aprovechamiento académico de la Carrera de Sistemas de Información de la Universidad de Guayaquil. Universidad de Guayaquil. Facultad de Ingeniería Industrial. Carrera de Licenciatura en Sistemas de Información.
Emre Güngör (2018). Araç-yaya kazalarını önlemek için stereo görüntü tabanlı uzaklık tespit sistemi geliştirilmesi. Sakarya Üniversitesi
Erick Roseira Pinheiro (2018). Diretrizes para Análise de Projeções Multidimensionais e suas Métricas em Diferentes Configurações de Bases de Dados. Escola Politécnica
Fatih Kayaalp, and Muhammet Sinan Başarslan (2018). Açık Kaynak Kodlu Veri Madenciliği Programları: R ‘da Örnek Uygulama. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 455 - 468, Düzce Üniversitesi
Fatih Kayaalp, and Muhammet Sinan Başarslan (2018). Open source data mining programs: a case study on R (Açık kaynak kodlu veri madenciliği programları: R’da örnek uygulama). Düzce University
Florian Fritz (2018). Design and development of a BANG-file clustering system.
Gabriel Leonardo Pedote (2018). Avaliação do impacto da seleção de partições base em ensemble multiobjetivo (Impact of base partition selection on multi-objective clustering ensemble). Universidade Federal de São Carlos
Gjergji Make (2018). Implementing KNIME Analytical Platform for visualizing data in educational context. Haaga-Helia ammattikorkeakoulu
Hilal Şenuysal (2018). Automated nanomaterial integrated repair patch production and its implementation for carbon fiber-reinforced composites.
Iftah BRATSPIESS, Yosef Appleboum, Bentsi BEN-ATAR, and Cyber Sepio Systems Ltd (2018). Improved system, method, and computer program product for securing a computer system from threats introduced by malicious transparent network devices.
Luisa Sanz Martínez, Alejandra Martínez Monés, Miguel L. Bote Lorenzo, and Yannis A. Dimitriadis (2018). Validating performance of group formation based on homogeneous engagement criteria in MOOCs.
Nurul Huda (2018). EoT: Ensemble of Trees For Classifying High Dimensional Imbalanced Data.
Nazmoon Nahar (2018). Prediction of Doppler shift for securing GNSS. East West University
Simon Stöferle (2018). Advanced Concepts for Task List Lifecycle Support. Ulm University
Vinh Truong Hoang (2018). Multi color space LBP-based feature selection for texture classification. Littoral
Weiyu Huang (2018). Networked Data Analytics: Network Comparison And Applied Graph Signal Processing. University of Pennsylvania
Ángel Poc (2018). Clustering Algorithms for High-Dimensional Data.
Žemlička Radomír (2018). Spolupráce studentů různé úrovně znalostí. České vysoké učení technické v Praze. Vypočetní a informační centrum.
І.Ю. Гришанова, and Ю.В. Рогушина (2018). Технологічнi рішення для інтелектуального аналізу Big Data. Мови програмування (Технологические решения для интеллектуального анализа Big Data. Языки программирования). Інститут програмних систем НАН України

2017

Abdulrahman H. Altalhi, José María Luna, M. A. Vallejo, and Sebastián Ventura (2017). Evaluation and comparison of open source software suites for data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 7(3), 10.1002/widm.1204, BibTeX
Xin Jin, and Jiawei Han (2017). K-Medoids Clustering. Encyclopedia of Machine Learning and Data Mining, 697-700, Springer, 10.1007/978-1-4899-7687-1_432, BibTeX
Peer Kröger, and Arthur Zimek (2017). Subspace Clustering Techniques. Encyclopedia of Database Systems, 1-4, Springer, 10.1007/978-1-4899-7993-3_607-2
Adam Byron (2017). Clustering and Network Analysis of Reverse Phase Protein Array Data. Molecular Profiling, 171-191, Springer, 10.1007/978-1-4939-6990-6_12
Charu C. Aggarwal (2017). Applications of Outlier Analysis. Outlier Analysis, 399-422, Springer, 10.1007/978-3-319-47578-3_13
Charu C. Aggarwal, and Saket Sathe (2017). Variance Reduction in Outlier Ensembles. Outlier Ensembles, 75-161, Springer, 10.1007/978-3-319-54765-7_3
Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer, and Piotr Faliszewski (2017). Two-Phase Strategy Managing Insensitivity in Global Optimization. EvoApplications (1), 266-281, 10.1007/978-3-319-55849-3_18, BibTeX
Christian Beilschmidt, Thomas Fober, Michael Mattig, and Bernhard Seeger (2017). Quality Measures for Visual Point Clustering in Geospatial Mapping. W2GIS, 153-168, 10.1007/978-3-319-55998-8_10, BibTeX
Lediona Nishani, and Marenglen Biba (2017). Randomizing Greedy Ensemble Outlier Detection with GRASP. CISIS, 974-983, Springer, 10.1007/978-3-319-61566-0_92, BibTeX
Giannis Evagorou, and Thomas Heinis (2017). STATS - A Point Access Method for Multidimensional Clusters. DEXA (1), 352-361, Springer, 10.1007/978-3-319-64468-4_27, BibTeX
Jyoti Lakhani, Ajay Khuteta, Anupama Choudhary, and Dharmesh Harwani (2017). Hierarchical Clustering-Based Algorithms and In Silico Techniques for Phylogenetic Analysis of Rhizobia. Rhizobium Biology and Biotechnology, 185-214, Springer, 10.1007/978-3-319-64982-5_10
Luisa Sanz-Martínez, Alejandra Martínez-Monés, Miguel L. Bote-Lorenzo, Juan Alberto Muñoz-Cristóbal, and Yannis A. Dimitriadis (2017). Automatic Group Formation in a MOOC Based on Students’ Activity Criteria. EC-TEL, 179-193, Springer, 10.1007/978-3-319-66610-5_14, BibTeX
Adnan R. Manzoor, Julia S. Mollee, Aart Tijmen van Halteren, and Michel C. A. Klein (2017). Real-Life Validation of Methods for Detecting Locations, Transition Periods and Travel Modes Using Phone-Based GPS and Activity Tracker Data. ICCCI (1), 473-483, Springer, 10.1007/978-3-319-67074-4_46, BibTeX
Evelyn Kirner, Erich Schubert, and Arthur Zimek (2017). Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. SISAP, 173-187, Springer, 10.1007/978-3-319-68474-1_12, BibTeX
Erich Schubert, and Michael Gertz (2017). Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality?. SISAP, 188-203, Springer, 10.1007/978-3-319-68474-1_13, BibTeX
Ankita Roy, Soumya Ray, and Radha Tamal Goswami (2017). Approaches and Challenges of Big Data Analytics—Study of a Beginner. Proceedings of the First International Conference on Intelligent Computing and Communication, 237-245, Springer, 10.1007/978-981-10-2035-3_25
Brij B. Gupta, Aakanksha Tewari, Ankit Kumar Jain, and Dharma P. Agrawal (2017). Fighting against phishing attacks: state of the art and future challenges. Neural Comput. Appl. 28(12), 3629-3654, 10.1007/s00521-016-2275-y, BibTeX
Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2017). The (black) art of runtime evaluation: Are we comparing algorithms or implementations?. Knowl. Inf. Syst. 52(2), 341-378, 10.1007/s10115-016-1004-2, BibTeX
Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, and Christian Böhm (2017). Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52(1), 83-111, 10.1007/s10115-016-1013-1, BibTeX
Johannes Schneider, and Michail Vlachos (2017). Scalable density-based clustering with quality guarantees using random projections. Data Min. Knowl. Discov. 31(4), 972-1005, 10.1007/s10618-017-0498-x, BibTeX
Klaus Arthur Schmid, Andreas Züfle, Tobias Emrich, Matthias Renz, and Reynold Cheng (2017). Uncertain Voronoi cell computation based on space decomposition. GeoInformatica 21(4), 797-827, 10.1007/S10707-017-0293-2, BibTeX
Mohamed Ben Khalifa, Rebeca P. Díaz Redondo, Ana Fernández Vilas, and Sandra Servia Rodríguez (2017). Identifying urban crowds using geo-located Social media data: a Twitter experiment in New York City. J. Intell. Inf. Syst. 48(2), 287-308, 10.1007/s10844-016-0411-x, BibTeX
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, and Sunil Aryal (2017). Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors. Mach. Learn. 106(1), 55-91, 10.1007/s10994-016-5586-4, BibTeX
Seyed Morteza Mousavi, Aaron Harwood, Shanika Karunasekera, and Mojtaba Maghrebi (2017). Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data. J. Ambient Intell. Humaniz. Comput. 8(3), 419-434, 10.1007/s12652-016-0400-5, BibTeX
Michalis Korakakis, Evaggelos Spyrou, Phivos Mylonas, and Stavros J. Perantonis (2017). Exploiting social media information toward a context-aware recommendation system. Soc. Netw. Anal. Min. 7(1), 42:1-42:20, 10.1007/s13278-017-0459-9, BibTeX
Susanna Spinsante, Vera Stara, Elisa Felici, Laura Montanini, Laura Raffaeli, Lorena Rossi, and Ennio Gambi (2017). The Human Factor in the Design of Successful Ambient Assisted Living Technologies. Ambient Assisted Living and Enhanced Living Environments, 61-89, Elsevier, 10.1016/B978-0-12-805195-5.00004-1
Julien F. Marquant, Ralph Evins, L. Andrew Bollinger, and Jan Carmeliet (2017). A holarchic approach for multi-scale distributed energy system optimisation. Applied Energy, Elsevier BV, 10.1016/j.apenergy.2017.09.057
Emre Güngör, and Ahmet Özmen (2017). Distance and density based clustering algorithm using Gaussian kernel. Expert Syst. Appl. 69, 10-20, 10.1016/j.eswa.2016.10.022, BibTeX
William M. Trochim (2017). Hindsight is 20/20: Reflections on the evolution of concept mapping. Evaluation and Program Planning 60, 176-185, Elsevier BV, 10.1016/j.evalprogplan.2016.08.009
Elyse Allender, and Tomasz F. Stepinski (2017). Automatic, exploratory mineralogical mapping of CRISM imagery using summary product signatures. Icarus 281, 151-161, Elsevier BV, 10.1016/j.icarus.2016.08.022
Sirisup Laohakiat, Suphakant Phimoltares, and Chidchanok Lursinsap (2017). A clustering algorithm for stream data with LDA-based unsupervised localized dimension reduction. Inf. Sci. 381, 104-123, 10.1016/j.ins.2016.11.018, BibTeX
Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, and Sergio Greco (2017). An information-theoretic approach to hierarchical clustering of uncertain data. Inf. Sci. 402, 199-215, 10.1016/j.ins.2017.03.030, BibTeX
Giuseppe Rizzo, Rosa Meo, Ruggero G. Pensa, Giacomo Falcone, and Raphaël Troncy (2017). Shaping City Neighborhoods Leveraging Crowd Sensors. Inf. Syst. 64, 368-378, 10.1016/j.is.2016.06.009, BibTeX
Alvin Chiang, Esther David, Yuh-Jye Lee, Guy Leshem, and Yi-Ren Yeh (2017). A study on anomaly detection ensembles. J. Appl. Log. 21, 1-13, 10.1016/j.jal.2016.12.002, BibTeX
Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, and Daniel A. Keim (2017). What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268, 164-175, 10.1016/j.neucom.2017.01.105, BibTeX
Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, and Qianli Zhao (2017). Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks 88, 74-89, 10.1016/j.neunet.2017.02.003, BibTeX
Marcin Los, Jakub Sawicki, Maciej Smolka, and Robert Schaefer (2017). Memetic approach for irremediable ill-conditioned parametric inverse problems. ICCS, 867-876, Elsevier, 10.1016/j.procs.2017.05.007, BibTeX
Qing Tian, and Maria Carmen Lemos (2017). Household Livelihood Differentiation and Vulnerability to Climate Hazards in Rural China. World Development, Elsevier BV, 10.1016/j.worlddev.2017.10.019
Hannes Bitto, Beatrice Mörstedt, Sylvia Faschina, and Rolf-Dieter Stieglitz (2017). ADHS bei Erwachsenen. Ein dimensionales oder kategoriales Konstrukt?. Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 65(2), 121-131, Hogrefe Publishing Group, 10.1024/1661-4747/a000311
Wenying Ji, Simaan M. AbouRizk, Osmar R. Zaïane, and Yitong Li (2017). A Hybrid Data Mining Approach for Product Complexity Analysis. CoRR abs/1710.10555, 10.1061/(ASCE)CO.1943-7862.0001520, BibTeX
Ricardo de Souza Jacomini, David Correa Martins Jr., Felipe Leno da Silva, and Anna Helena Reali Costa (2017). GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. J. Comput. Biol. 24(8), 809-830, 10.1089/cmb.2017.0022, BibTeX
Fernando Perez-Sanz, Pedro J. Navarro, and Marcos Egea-Cortines (2017). Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms. GigaScience, Oxford University Press (OUP), 10.1093/gigascience/gix092
Tshepiso Mokoena, Ofentswe Lebogo, Asive Dlaba, and Vukosi N. Marivate (2017). Bringing sequential feature explanations to life. AFRICON, 59-64, IEEE, 10.1109/AFRCON.2017.8095456, BibTeX
Zhipeng Gao, Yang Zhao, Kun Niu, and Yidan Fan (2017). A High-Dimensional Outlier Detection Algorithm Base on Relevant Subspace. DASC/PiCom/DataCom/CyberSciTech, 1001-1008, IEEE, 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.165, BibTeX
Weiyu Huang, and Alejandro Ribeiro (2017). Axiomatic hierarchical clustering given intervals of metric distances. ICASSP, 4227-4231, IEEE, 10.1109/ICASSP.2017.7952953, BibTeX
Karun Thankachan (2017). Automating anomaly detection for exploratory data analytics. 2017 International Conference on Inventive Computing and Informatics (ICICI), IEEE, 10.1109/ICICI.2017.8365228
Karun Thankachan (2017). Data driven decision making for application support. 2017 International Conference on Inventive Computing and Informatics (ICICI), IEEE, 10.1109/ICICI.2017.8365229
Roselyn Isimeto, Chika Yinka-Banjo, Charles O. Uwadia, and Daniel C. Alienyi (2017). An enhanced clustering analysis based on glowworm swarm optimization. 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, 10.1109/ISCMI.2017.8279595
Yoshiyuki Harada, Yoriyuki Yamagata, Osamu Mizuno, and Eun-Hye Choi (2017). Log-Based Anomaly Detection of CPS Using a Statistical Method. IWESEP, 1-6, IEEE, 10.1109/IWESEP.2017.12, BibTeX
Dimitra Papadimitriou, Georgia Koutrika, Yannis Velegrakis, and John Mylopoulos (2017). Finding Related Forum Posts through Content Similarity over Intention-Based Segmentation. IEEE Trans. Knowl. Data Eng. 29(9), 1860-1873, 10.1109/TKDE.2017.2699965, BibTeX
Wesin Alves, Daniel Martins, Ubiratan Bezerra, and Aldebaro Klautau (2017). A Hybrid Approach for Big Data Outlier Detection from Electric Power SCADA System. IEEE Latin America Transactions 15(1), 57-64, IEEE, 10.1109/TLA.2017.7827888
David Ciechanowicz, Dominik Pelzer, Benedikt Bartenschlager, and Alois Knoll (2017). A Modular Power System Planning and Power Flow Simulation Framework for Generating and Evaluating Power Network Models. IEEE Transactions on Power Systems 32(3), 2214-2224, IEEE, 10.1109/TPWRS.2016.2602479
Soongeol Kwon, Lewis Ntaimo, and Natarajan Gautam (2017). Optimal Day-Ahead Power Procurement With Renewable Energy and Demand Response. IEEE Transactions on Power Systems 32(5), 3924-3933, IEEE, 10.1109/TPWRS.2016.2643624
Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, and Sahaana Suri (2017). MacroBase: Prioritizing Attention in Fast Data. SIGMOD Conference, 541-556, ACM, 10.1145/3035918.3035928, BibTeX
Rocío B. Hubert, Ana Gabriela Maguitman, Carlos Iván Chesñevar, and Marcos A. Malamud (2017). CitymisVis: a Tool for the Visual Analysis and Exploration of Citizen Requests and Complaints. ICEGOV, 22-25, ACM, 10.1145/3047273.3047320, BibTeX
Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, and Xiaowei Xu (2017). DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. 42(3), 19:1-19:21, 10.1145/3068335, BibTeX
Andrew Lensen, Bing Xue, and Mengjie Zhang (2017). GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO, 449-456, ACM, 10.1145/3071178.3071222, BibTeX
Daniyal Kazempour, Markus Mauder, Peer Kröger, and Thomas Seidl (2017). Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. SSDBM, 31:1-31:6, ACM, 10.1145/3085504.3085536, BibTeX
Dominik Mautz, Wei Ye, Claudia Plant, and Christian Böhm (2017). Towards an Optimal Subspace for K-Means. KDD, 365-373, ACM, 10.1145/3097983.3097989, BibTeX
Suhang Wang, Charu C. Aggarwal, and Huan Liu (2017). Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. KDD, 485-494, ACM, 10.1145/3097983.3098001, BibTeX
Wubai Zhou, Wei Xue, Ramesh Baral, Qing Wang, Chunqiu Zeng, Tao Li, Jian Xu, Zheng Liu, Larisa Shwartz, and Genady Ya. Grabarnik (2017). STAR: A System for Ticket Analysis and Resolution. KDD, 2181-2190, ACM, 10.1145/3097983.3098190, BibTeX
Guansong Pang, Hongzuo Xu, Longbing Cao, and Wentao Zhao (2017). Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM, 807-816, ACM, 10.1145/3132847.3132994, BibTeX
Mattia Zeni, and Komminist Weldemariam (2017). Extracting information from newspaper archives in Africa. IBM J. Res. Dev. 61(6), 12, 10.1147/JRD.2017.2742706, BibTeX
Zhihua Li, Ziyuan Li, Ning Yu, and Steven Wen (2017). Locality-Based Visual Outlier Detection Algorithm for Time Series. Secur. Commun. Networks 2017, 1869787:1-1869787:10, 10.1155/2017/1869787, BibTeX
Changbo Ke, Zhiqiu Huang, Fu Xiao, and Linyuan Liu (2017). Privacy Data Decomposition and Discretization Method for SaaS Services. Mathematical Problems in Engineering 2017, 1-11, Hindawi Limited, 10.1155/2017/4785142
Ricardo de Souza Jacomini (2017). Inferência de redes gênicas por agrupamento, busca exaustiva e análise de predição intrinsecamente multivariada. University of São Paulo, Brazil, 10.11606/T.3.2017.tde-05092017-111639, BibTeX
Eugene Lemuel R. Garcia (2017). Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels. Carnegie Mellon University, 10.1184/R1/6723071.v1
迟荣华, 程媛, 朱素霞, 黄少滨, and 陈德运 (2017). 基于快速高斯变换的不确定数据聚类算法. 通信学报 38(3), 101-111, 10.11959/j.issn.1000-436x.2017061
Sen Wu, Xiaonan Gao, and Lu Liu (2017). ADJ-CABOSFV for High Dimensional Sparse Data Clustering. DEStech Transactions on Economics and Management, DEStech Publications, 10.12783/dtem/apme2016/8736
Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, and Arthur Zimek (2017). Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. 10(7), 769-780, 10.14778/3067421.3067426, BibTeX
Lu Chen, Yunjun Gao, Baihua Zheng, Christian S. Jensen, Hanyu Yang, and Keyu Yang (2017). Pivot-based Metric Indexing. Proc. VLDB Endow. 10(10), 1058-1069, 10.14778/3115404.3115411, BibTeX
Burak Omer Saracoglu (2017). Location selection factors of small hydropower plant investments powered by SAW, grey WPM and fuzzy DEMATEL based on human natural language perception. International Journal of Renewable Energy Technology 8(1), 1, Inderscience Publishers, 10.1504/IJRET.2017.080867
Igor A. Pestunov, , Sergey A. Rylov, Yuriy N. Sinyavskiy, Vladimir B. Berikov, , , and (2017). Computationally efficient methods of clustering ensemble construction for satellite image segmentation. Image Processing, Geoinformation Technology and Information Security, Samara University, 10.18287/1613-0073-2017-1901-194-200
Onur Doğan (2017). Ücretsiz Veri Madenciliği Araçlari Ve Türkiye’De Bilinirlikleri Üzerine Bir Araştirma. Ege Stratejik Araştırmalar Dergisi 8(1), 77-93, 10.18354/esam.15352
Benjamin Heinzerling, Michael Strube, and Chin-Yew Lin (2017). Trust, but Verify! Better Entity Linking through Automatic Verification. EACL (1), 828-838, Association for Computational Linguistics, 10.18653/V1/E17-1078, BibTeX
Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, and Salvatore J. Stolfo (2017). Anomaly Detection as a Service: Challenges, Advances, and Opportunities. Anomaly Detection as a Service Synthesis Lectures on Information Security, Privacy, and Trust, Morgan & Claypool Publishers, 10.2200/S00800ED1V01Y201709SPT022, BibTeX
Jürgen Bernard, Eduard Dobermann, Michael Sedlmair, and Dieter W. Fellner (2017). Combining Cluster and Outlier Analysis with Visual Analytics. EuroVA@EuroVis, 19-23, Eurographics Association, 10.2312/eurova.20171114, BibTeX
Wubai Zhou (2017). Data Mining Techniques to Understand Textual Data. Florida International University, 10.25148/etd.FIDC003998
Leonidas Tsekouras, Iraklis Varlamis, and George Giannakopoulos (2017). A Graph-based Text Similarity Measure That Employs Named Entity Information. RANLP, 765-771, INCOMA Ltd. 10.26615/978-954-452-049-6_098, BibTeX
Julien F. Marquant, L. Andrew Bollinger, Ralph Evins, and Jan Carmeliet (2017). A new combined clustering method to analyse the potential of district heating networks at large-scale. 30th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems (ECOS 2017), ETH Zurich, 10.3929/ethz-b-000196118
Yasser Abd Djawad, Andi Mu’nisa, Pangayoman Rusung, Abdi Kurniawan, Irma Suryani Idris, and Mushawwir Taiyeb (2017). Essential Feature Extraction of Photoplethysmography Signal of Men and Women in Their 20s. Engineering Journal 21(4), 259-272, Faculty of Engineering, Chulalongkorn University, 10.4186/ej.2017.21.4.259
Jaakko Peltonen, and Ziyuan Lin (2017). Parallel Coordinate Plots for Neighbor Retrieval. VISIGRAPP (3: IVAPP), 40-51, SciTePress, 10.5220/0006097400400051, BibTeX
Linnea Passing, Manuel Then, Nina C. Hubig, Harald Lang, Michael Schreier, Stephan Günnemann, Alfons Kemper, and Thomas Neumann (2017). SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. EDBT, 84-95, OpenProceedings.org, 10.5441/002/edbt.2017.09, BibTeX
Zachary M. Jullion (2017). A New Method for Semi-Supervised Density-Based Projected Clustering. University of Alberta, 10.7939/R3VH5CZ0S
S Sathappan, S Sridhar, and D Tomar (2017). A Literature Study on Traditional Clustering Algorithms for Uncertain Data. British Journal of Mathematics & Computer Science 21(5), 1-21, Sciencedomain International, 10.9734/BJMCS/2017/32697
Luisa Sanz-Martínez, Juan Alberto Muñoz-Cristóbal, Miguel L. Bote-Lorenzo, Alejandra Martínez-Monés, and Yannis A. Dimitriadis (2017). Toward Criteria-Based Automatic Group Formation in MOOCs. EMOOCs-WIP, 83-88, CEUR-WS.org, BibTeX
Chen Luo, and Anshumali Shrivastava (2017). Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups. CoRR abs/1706.06664, BibTeX
Jonathan R. Wells, and Kai Ming Ting (2017). A simple efficient density estimator that enables fast systematic search. CoRR abs/1707.00783, BibTeX
Erich Schubert, Andreas Spitz, Michael Weiler, Johanna Geiß, and Michael Gertz (2017). Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding. CoRR abs/1708.03569, BibTeX
Dimitra Papadimitriou (2017). Extraction and Exploitation of User Goals and Intentions for Querying and Recommendation. University of Trento, Italy, BibTeX
Nina C. Hubig (2017). Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data. Technical University Munich, Germany, BibTeX
Markus Mauder (2017). Analyzing complex data using domain constraints. Ludwig Maximilian University of Munich, Germany, BibTeX
Samuel Maurus (2017). Exploratory Knowledge-Mining from Complex Data Contexts in Linear Time. Technical University Munich, Germany, BibTeX
Julien Collet (2017). Exploration of parallel graph-processing algorithms on distributed architectures. (Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées). University of Technology of Compiègne, France, BibTeX
Dr. Uday Kamath, and Krishna Choppella (2017). Mastering Java Machine Learning. Packt Publishing Ltd, 9781785888557
Leandro Nunes De Castro Silva Daniel Gomes Ferrari (2017). Introdução a mineração de dados. Editora Saraiva, 9788547200992
A. Manzoor (2017). Minding a Healthy Lifestyle: An Exploration of Mental Processes and a Smart Environment to Provide Support for a Healthy Lifestyle. Amsterdam: Vrije Universiteit
Aakash Ravi (2017). Machine learning-based identification of separating features in molecular fragments.
Alonso Vallejos-Peña (2017). Propuesta de algoritmo que combina el agrupamiento en subespacios basado en densidad y el agrupamiento basado en restricciones para la detección de grupos que incluyan atributos de interés en conjuntos de datos de alta dimensionalidad. Instituto Tecnológico de Costa Rica
Andreas Forstén (2017). Unsupervised Anomaly Detection in Receipt Data.
Anthony McCaffrey, and University of Massachusetts (UMass) (2017). Feature Type Spectrum Technique.
Dana Yarden, Oded Shoseyov, Merav Blanca, and Gemmacert Ltd (2017). System and method for qualifying plant material.
Daniel Bauersachs (2017). Interactive Association Rule Exploration. Ludwig-Maximilians-Universität München
Evgeniy A. Malyutin, Dmitriy Yu. Bugaichenko, and Alexey N. Mishenin (2017). Textual trends detection at OK. St Petersburg State University
George E. Barreto, Rosa M. Gomez, Rosa H. Bustos, Diego A. Forero, Gjumrakch Aliev, Vadim V. Tarasov, Nagendra S. Yarla, Valentina Echeverria, and Janneth Gonzalez (2017). Approaches of the Transcriptomic Analysis in Astrocytes: Potential Pharmacological Targets. Bentham Science Publishers
Ilari Kampman (2017). Algorithms for Clustering High-Dimensional Data (Algoritmeja moniulotteisen datan klusterointiin).
Julien Collet (2017). Exploration of parallel graph-processing algorithms on distributed architectures. Université de Technologie de Compiègne
Kai M Ting (2017). Algorithms that Defy the Gravity of Learning Curve. FEDERATION UNIVERSITY AUSTRALIA MOUNT HELEN Australia
Loïc Prieur-Drevon (2017). Structures de données hautement extensibles pour le stockage sur disque de séries temporelles hétérogènes. École Polytechnique de Montréal
Miguel Guagliano, Julián Tornillo, Guadalupe Pascal, Lucas Carroso, and Juan Santiago Pavlicevic (2017). Aplicación de herramientas de vigilancia tecnológica para el relevamiento de tecnologías de código abierto aplicables en la enseñanza de la Ingeniería. XII Congreso de Tecnología en Educación y Educación en Tecnología (TE&ET, La Matanza 2017).
Pallam Anusha, and G.Krishna Reddy (2017). Repeal Adjacent Neighbors In Untrue Interval Base Discovery System. IJITR 5(1), 5552-5554
Paulo Sergio da Conceição Moreira (2017). Mineração de dados aplicada à classificação automática de gêneros musicais.
Renzo Paranaíba Mesquita (2017). Aprimoramentos da Junção Canalizada aplicada em dados Métricos e Espaciais.
Ricardo de Souza Jacomini (2017). Inferência de redes gênicas por agrupamento, busca exaustiva e análise de predição intrinsecamente multivariada. Biblioteca Digital de Teses e Dissertações da Universidade de São Paulo
Rocío Hubert (2017). Análisis y visualización de peticiones, quejas y reclamos ciudadanos. XX Concurso de Trabajos Estudiantiles - JAIIO 46 (Córdoba, 2017).
Réris Aparecida Pereira de Lima (2017). Mineração de dados abertos com a ferramenta weka: microdados CAGED de pessoas com deficiência da Região Sul do Brasil.
Soongeol Kwon (2017). Demand-Side Management for Energy-efficient Data Center Operations with Renewable Energy and Demand Response.
Subscribers Only (2017). A Hierarchical Uncertain Clustering Method for Multi-Relational Data with Incomplete Information. Boletín Técnico, ISSN:0376-723X 55(3)
Thiago Orion Simões Amorim (2017). Bioacústica de baleias cachalotes (Physeter macrocephalus Linnaeus, 1758) com ênfase no oceano Atlântico Sul ocidental. Universidade Federal de Juiz de Fora (UFJF)
Vanessa Estefania Quintana Bajaña, and Sandro Anibal Yagual Tomala (2017). Propuesta de Aplicación Predictiva de Aprobación de una Asignatura con Flujo Previo a Través de Algoritmos Basados en Software WEKA Para Estudiantes del Ultimo Semestre de la Carrera de Ingeniería en Sistemas Computacionales de la Universidad de Guayaquil. Universidad de Guayaquil. Facultad de Ciencias Matematicas y Fisicas. Carrera de Ingenieria en Sistemas Computacionales
Yu-Wei Liao (2017). 使用權重動態視窗之密度導向的局部離群值偵測演算法. 中興大學資訊科學與工程學系學位論文, 1-55, 中興大學
Гущина Оксана Александровна (2017). Применение интеллектуальных систем при управлении рисками программных проектов. Вестник Мордовского университета 27(2), Федеральное государственное бюджетное образовательное учреждение высшего образования «Национальный исследовательский Мордовский государственный университет им. Н. П. Огарёва»
Малютин Евгений Алексеевич, Бугайченко Дмитрий Юрьевич, and Мишенин Алексей Николаевич (2017). Выделение текстовых трендов в социальной сети ok. Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления, Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет»
Попов А.Д., and Гаспарян А.Н. (2017). Проблема кластеризации данных электронной компонентной базы космического применения на Python и ее решение. Актуальные проблемы авиации и космонавтики 2(13), Федеральное государственное бюджетное образовательное учреждение высшего образования «Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева»

2016

Joy Mustafi (2016). Natural Language Processing and Machine Learning for Big Data. Techniques and Environments for Big Data Analysis, 53-74, Springer, 10.1007/978-3-319-27520-8_4
Johannes Blömer, and Kathrin Bujna (2016). Adaptive Seeding for Gaussian Mixture Models. PAKDD (2), 296-308, Springer, 10.1007/978-3-319-31750-2_24, BibTeX
Amin Aghaee, Mehrdad Ghadiri, and Mahdieh Soleymani Baghshah (2016). Active Distance-Based Clustering Using K-Medoids. PAKDD (1), 253-264, Springer, 10.1007/978-3-319-31753-3_21, BibTeX
Smita Chormunge, and Sudarson Jena (2016). Performance Efficiency and Effectiveness of Clustering Methods for Microarray Datasets. Smart Innovation, Systems and Technologies, 557-567, Springer, 10.1007/978-81-322-2529-4_58
Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, and Michael E. Houle (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30(4), 891-927, 10.1007/s10618-015-0444-8, BibTeX
Bo Jiang, Feiyue Qiu, and Liping Wang (2016). Multi-view clustering via simultaneous weighting on views and features. Appl. Soft Comput. 47, 304-315, 10.1016/j.asoc.2016.06.010, BibTeX
Manal T. Adham, and Peter J. Bentley (2016). Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London. Biosyst. 146, 43-59, 10.1016/j.biosystems.2016.04.008, BibTeX
Felix Stahlberg, Tim Schlippe, Stephan Vogel, and Tanja Schultz (2016). Word segmentation and pronunciation extraction from phoneme sequences through cross-lingual word-to-phoneme alignment. Comput. Speech Lang. 35, 234-261, 10.1016/j.csl.2014.10.001, BibTeX
Bo Jiang, Feiyue Qiu, Liping Wang, and Zhenjun Zhang (2016). Bi-level weighted multi-view clustering via hybrid particle swarm optimization. Inf. Process. Manag. 52(3), 387-398, 10.1016/j.ipm.2015.11.003, BibTeX
Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, and Sophia Ananiadou (2016). Text mining resources for the life sciences. Database J. Biol. Databases Curation 2016, 10.1093/database/baw145, BibTeX
Shane Gero, Hal Whitehead, and Luke Rendell (2016). Individual, unit and vocal clan level identity cues in sperm whale codas. Royal Society Open Science 3(1), 150372, The Royal Society, 10.1098/rsos.150372
Shane Gero, Anne Bøttcher, Hal Whitehead, and Peter Teglberg Madsen (2016). Socially segregated, sympatric sperm whale clans in the Atlantic Ocean. Royal Society Open Science 3(6), 160061, The Royal Society, 10.1098/rsos.160061
Bo Jiang, Feiyue Qiu, Shipin Yang, and Liping Wang (2016). Evolutionary multi-objective optimization for multi-view clustering. CEC, 3308-3315, IEEE, 10.1109/CEC.2016.7744208, BibTeX
Wei Ye, Samuel Maurus, Nina C. Hubig, and Claudia Plant (2016). Generalized Independent Subspace Clustering. ICDM, 569-578, IEEE, 10.1109/ICDM.2016.0068, BibTeX
Dominik Mautz, Christian Böhm, and Claudia Plant (2016). Subspace Clustering Ensembles through Tensor Decomposition. ICDM Workshops, 1225-1234, IEEE, 10.1109/ICDMW.2016.0177, BibTeX
Martin Jenckel, Syed Saqib Bukhari, and Andreas Dengel (2016). anyOCR: A sequence learning based OCR system for unlabeled historical documents. ICPR, 4035-4040, IEEE, 10.1109/ICPR.2016.7900265, BibTeX
Xu Han, Chee Keong Kwoh, and Jung-jae Kim (2016). Clustering based active learning for biomedical Named Entity Recognition. IJCNN, 1253-1260, IEEE, 10.1109/IJCNN.2016.7727341, BibTeX
Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, and Denis Hamad (2016). LBP parameter tuning for texture analysis of lace images. IPAS, 1-6, IEEE, 10.1109/IPAS.2016.7880063, BibTeX
Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, and Enrico Bertini (2016). SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces. LDAV, 11-19, IEEE, 10.1109/LDAV.2016.7874305, BibTeX
Venkatesh Kulkarni, and Manju Nanda (2016). Data driven prognosis approach for safety critical systems. 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 1699-1703, IEEE, 10.1109/RTEICT.2016.7808123
MingJie Tang, Ruby Y. Tahboub, Walid G. Aref, Mikhail J. Atallah, Qutaibah M. Malluhi, Mourad Ouzzani, and Yasin N. Silva (2016). Similarity Group-by Operators for Multi-Dimensional Relational Data. IEEE Trans. Knowl. Data Eng. 28(2), 510-523, 10.1109/TKDE.2015.2480400, BibTeX
Lei Xu, Chunxiao Jiang, Yong Ren, and Hsiao-Hwa Chen (2016). Microblog Dimensionality Reduction - A Deep Learning Approach. IEEE Trans. Knowl. Data Eng. 28(7), 1779-1789, 10.1109/TKDE.2016.2540639, BibTeX
Khaled M. Fouad, and Mohamed Farouk Dawood (2016). Adaptive optimized clustering for Veterans’ Administration Lung Cancer. 2016 8th Cairo International Biomedical Engineering Conference (CIBEC), IEEE, 10.1109/CIBEC.2016.7836127
Yuan Cheng, Ronghua Chi, and Suxia Zhu (2016). An uncertain data model construction method based on nonparametric estimation. 2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT), IEEE, 10.1109/ICEICT.2016.7879722
Weiyu Huang, and Alejandro Ribeiro (2016). Hierarchical Clustering Given Confidence Intervals of Metric Distances. CoRR abs/1610.04274, 10.1109/tsp.2018.2813322, BibTeX
Xiaodan Hou, and Tao Zhang (2016). Unsupervised universal steganalyzer for high-dimensional steganalytic features. J. Electronic Imaging 25(6), 63016, 10.1117/1.JEI.25.6.063016, BibTeX
Fabrizio Angiulli, and Fabio Fassetti (2016). Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure. ACM Trans. Knowl. Discov. Data 10(3), 27:1-27:26, 10.1145/2829956, BibTeX
Erich Schubert, Michael Weiler, and Hans-Peter Kriegel (2016). SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams. SSDBM, 8:1-8:12, ACM, 10.1145/2949689.2949699, BibTeX
Hossein Hamooni, Biplob Debnath, Jianwu Xu, Hui Zhang, Guofei Jiang, and Abdullah Mueen (2016). LogMine: Fast Pattern Recognition for Log Analytics. CIKM, 1573-1582, ACM, 10.1145/2983323.2983358, BibTeX
Apurva Narechania, Richard Baker, Rob DeSalle, Barun Mathema, Sergios-Orestis Kolokotronis, Barry Kreiswirth, and Paul J. Planet (2016). Clusterflock: a flocking algorithm for isolating congruent phylogenomic datasets. GigaScience 5(1), Oxford University Press (OUP), 10.1101/045773
Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, and Piotr Kulczycki (2016). Clustering based on the Krill Herd Algorithm with Selected Validity Measures. FedCSIS, 79-87, IEEE, 10.15439/2016F295, BibTeX
Gang Chen, Haiying Zhang, and Caiming Xiong (2016). Maximum Margin Dirichlet Process Mixtures for Clustering. AAAI, 1491-1497, AAAI Press, 10.1609/aaai.v30i1.10197, BibTeX
Guansong Pang, Kai Ming Ting, David Albrecht, and Huidong Jin (2016). ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. Journal of Artificial Intelligence Research 57, 593-620, AI Access Foundation, 10.1613/jair.5228
Rajvi Kapadia, Varun Kasbekar, and Vinaya Sawant (2016). Pattern Mining of Road Traffic in Developing Countries using Spatio-Temporal Data. IJARCCE 5(12), 237-239, Tejass Publisheers, 10.17148/IJARCCE.2016.51252
Amit Verma, Iqbaldeep Kaur, and Amandeep Kaur (2016). Algorithmic Approach to Data Mining and Classification Techniques. Indian Journal of Science and Technology 9(28), Indian Society for Education and Environment, 10.17485/ijst/2016/v9i28/88874
Corey OMeara, Leonard Schlag, Luisa Faltenbacher, and Martin Wickler (2016). ATHMoS: Automated Telemetry Health Monitoring System at GSOC using Outlier Detection and Supervised Machine Learning. SpaceOps 2016 Conference, American Institute of Aeronautics and Astronautics, 10.2514/6.2016-2347
Ivano Verzola, Alessandro Donati, Jose Martinez, Matthias Schubert, and Laszlo Somodi (2016). Project Sibyl: A Novelty Detection System for Human Spaceflight Operations. 14th International Conference on Space Operations, American Institute of Aeronautics and Astronautics (AIAA), 10.2514/6.2016-2405
Qingying Yu, Yonglong Luo, Chuanming Chen, and Weixin Bian (2016). Neighborhood relevant outlier detection approach based on information entropy. Intell. Data Anal. 20(6), 1247-1265, 10.3233/IDA-150301, BibTeX
Huanyang Zheng, and Jie Wu (2016). Which, When, and How: Hierarchical Clustering with Human-Machine Cooperation. Algorithms 9(4), 88, 10.3390/a9040088, BibTeX
Alejandro Rituerto, Henrik Andreasson, Ana C. Murillo, Achim J. Lilienthal, and José Jesús Guerrero (2016). Building an Enhanced Vocabulary of the Robot Environment with a Ceiling Pointing Camera. Sensors 16(4), 493, 10.3390/s16040493, BibTeX
Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, and Ingrid Moerman (2016). Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial. Sensors 16(6), 790, 10.3390/s16060790, BibTeX
Preeti Bhargava, and Ashok K. Agrawala (2016). Modeling Users’ Behavior from Large Scale Smartphone Data Collection. EAI Endorsed Trans. Context aware Syst. Appl. 3(10), e3, 10.4108/eai.12-9-2016.151677, BibTeX
V. Mahalakshmi, and M. Govindarajan (2016). Comparison of Outlier Detection Methods in Diabetes Data. International Journal of Computer Applications 155(10), 28-32, Foundation of Computer Science, 10.5120/ijca2016912451
Jeffrey Hudack, and Jae C. Oh (2016). Multi-Agent Sensor Data Collection with Attrition Risk. ICAPS, 166-174, AAAI Press, BibTeX
Michael J. Siers, and Md Zahidul Islam (2016). RBClust: High quality class-specific clustering using rule-based classification. ESANN, BibTeX
Fatemeh Riahi, and Oliver Schulte (2016). Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data. FLAIRS, 448-453, AAAI Press, BibTeX
Zhiruo Zhao, Chilukuri K. Mohan, and Kishan G. Mehrotra (2016). Adaptive Sampling and Learning for Unsupervised Outlier Detection. FLAIRS, 460-466, AAAI Press, BibTeX
Sebastian Bothe, and Tamás Horváth (2016). The Partial Weighted Set Cover Problem with Applications to Outlier Detection and Clustering. LWDA, 335-346, CEUR-WS.org, BibTeX
Johannes Schneider, and Thomas Locher (2016). Obfuscation using Encryption. CoRR abs/1612.03345, BibTeX
Klaus Arthur Schmid (2016). Searching and mining in enriched geo-spatial data. Ludwig Maximilian University of Munich, Germany, BibTeX
Michael Weiler (2016). Event detection in high throughput social media. Ludwig Maximilian University of Munich, Germany, BibTeX
Simon Maag, and Hanspeter Kriesi (2016). Politicisation, conflicts and the structuring of the EU political space. Politicising Europe, Cambridge University Press, 9781107129412
Ahmed Balfagih (2016). Direct Selling Business Lead Prediction by Social Media Data Mining.
Alexander Fischer-Brandies (2016). Explaining Outliers in ARTigo. Ludwig-Maximilians-Universität München
Anthony McCaffrey, and University Of Massachusetts (2016). Feature type spectrum technique.
B. Gajewski, and T. Martyn (2016). Spatial data clustering in independent mobile environment. Measurement Automation Monitoring Vol. 62, No. 5
Bruno Miguel Nunes da Silva (2016). Exploratory Cluster Analysis from Ubiquitous Data Streams using Self-Organizing Maps.
Christopher Håkansson (2016). Clustering driver’s destinations - using internal evaluation to adaptively set parameters.
Francisco Daniel Porras Bernárdez (2016). Extraction of User’s Stays and Transitions from GPS Logs: A Comparison of Three Spatio-Temporal Clustering Approaches.
Frederic Sautter (2016). Association Rule Generation and Evaluation of Interestingness Measures for Artwork Tags. Ludwig-Maximilians-Universität München
Furkan Gözükara (2016). Product Search Engine Using Product Name Recognition and Sentiment Analysis. Cukurova University
G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, I. Assent, and M. E. Houle (2016). On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. Proceedings of the LWDA 2016 Workshops: KDML, FGWM, FGIR, and FGDB, Potsdam, Germany
Helmut Neukirchen (2016). Survey and Performance Evaluation of DBSCAN Spatial Clustering Implementations for Big Data and High-Performance Computing Paradigms. Technical report VHI-01-2016, Engineering Research Institute, University of Iceland
Hemlata Chahal, and Preeti Gulia (2016). Comprehensive Study of Open-Source Big Data Mining Tools. International Journal of Artificial Intelligence and Knowledge Discovery 6(1).
Hrvoje Brlečić Layer (2016). Klasifikacija energetskih subjekata u Republici Hrvatskoj korištenjem otkrivanja znanja iz baza podataka. University of Zagreb. Faculty of Economics and Business.
Huang Dan (2016). Design and implementation of semantic annotation system based on fragmentation knowledge. E.T.S. de Ingenieros Informáticos (UPM)
Jakub Velkoborský (2016). Hierarchical visualization of the chemical space.
Jeffrey Hudack (2016). Risk-Aware Planning for Sensor Data Collection. Syracuse University
Joonas Puura (2016). Tarkvara loomine erinevate k-keskmiste algoritmide rakendamiseks (Software for Clustering Using k-means Algorithms).
Justin Sam Chew, and Maurice HT Ling (2016). TAPPS Release 1: Plugin-Extensible Platform for Technical Analysis and Applied Statistics. Advances in Computer Science: an International Journal 5(1), 132-141
Laleh Jalali (2016). Interactive Event-driven Knowledge Discovery from Data Streams. UC Irvine
Luca Putelli (2016). Estrazione di regole di associazione da dati RDF. Italy
Martin Jenckel, Syed Saqib Bukhari, and Andreas Dengel (2016). Clustering Benchmark for Characters in Historical Documents. DAS 2016 Short Paper Booklet, 33-34
Miguel José Cavadas Santos (2016). Automated Scalable Platform for Packet Traffic Analysis.
Mingjie Tang (2016). Efficient processing of similarity queries with applications. Purdue University
Mustafa Takaoğlu (2016). Birkaç Veri Kümesi ile WEKA ve MATLAB Üzerinde Kümeleme Algoritmalarının Karşılaştırılarak İncelenmesi. İstanbul Aydin Üni̇versi̇tesi̇ Fen Bi̇li̇mleri̇ Ensti̇tüsü
N. Srujana, G. Srinivasa Rao, and M. V. Sivaprasad (2016). Unsupervised Distance-Based Outlier Detection In High Dimensional Data. IJITR 4(5), 3905–3907
P.A.R. Kostjens (2016). Anomaly Detection in Application Log Data.
Parvej Aalam, and Tamanna Siddiqui (2016). Comparative study of data mining tools used for clustering. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 3971-3975, IEEE
Pawel Lee (2016). Structure in Star Forming Regions. University of Sheffield
Ravi Chinapaga, D. Sravya, M Bal Raju, and N Subhash Chandra (2016). Detecting Outliers Using Euclidean Distance In Unsupervised Method. IJITR 4(5), 3855–3857
Sebastian Rühl (2016). Event Detection in ARTigo Data. Ludwig-Maximilians-Universität München
Sirisup Laohakiat (2016). Development Of Density Based Clustering Algorithms For Streaming Data (การพัฒนาขั้นตอนวิธีจัดกลุ่มบนพื้นฐานความหนาแน่นสำหรับข้อมูลที่มีการไหลเข้าอย่างต่อเนื่อง). Chulalongkorn University
Stephen K Karanja (2016). Density-based Cluster Analysis Of Fire Hot Spots In Kenya’s Wildlife Protected Areas. University of Nairobi
Talita de Souza Rampão (2016). Mineração de dados em bases jurídicas: um estudo de caso.
Thomas Rusch, Kurt Hornik, and Patrick Mair (2016). Assessing and quantifying clusteredness: The OPTICS Cordillera. WU Vienna University of Economics and Business
Tilmann Zäschke (2016). The PH-Tree Revisited r1.2.
Trusina Jan (2016). Implementace evolučního shlukování. České vysoké učení technické v Praze. Vypočetní a informační centrum.
Xt Nguyen (2016). Anomaly Detection in Distributed Dataflow Systems. Technische Universität Berlin
沈琰辉, 刘华文, 徐晓丹, 赵建民, and 陈中育 (2016). 基于邻域离散度的异常点检测算法. 计算机科学与探索 10(12), 1763-1772

2015

Greg Hamerly, and Jonathan Drake (2015). Accelerating Lloyd’s Algorithm for k-Means Clustering. Partitional Clustering Algorithms, 41-78, Springer, 10.1007/978-3-319-09259-1_2
Monika Kofler, Andreas Beham, Stefan Wagner, and Michael Affenzeller (2015). Robust Storage Assignment in Warehouses with Correlated Demand. Computational Intelligence and Efficiency in Engineering Systems, 415-428, Springer, 10.1007/978-3-319-15720-7_29, BibTeX
Erich Schubert, Arthur Zimek, and Hans-Peter Kriegel (2015). Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. DASFAA (2), 19-36, Springer, 10.1007/978-3-319-18123-3_2, BibTeX
Taylor Arnold, and Lauren Tilton (2015). Image Data. Humanities Data in R, 113-129, Springer, 10.1007/978-3-319-20702-5_8
Markus Mauder, Markus Reisinger, Tobias Emrich, Andreas Züfle, Matthias Renz, Goce Trajcevski, and Roberto Tamassia (2015). Minimal Spatio-Temporal Database Repairs. SSTD, 255-273, Springer, 10.1007/978-3-319-22363-6_14, BibTeX
Lasanthi Heendaliya, Michael Wisely, Dan Lin, Sahra Sedigh Sarvestani, and Ali R. Hurson (2015). Influence-Aware Predictive Density Queries Under Road-Network Constraints. SSTD, 80-97, Springer, 10.1007/978-3-319-22363-6_5, BibTeX
Tobias Emrich, Klaus Arthur Schmid, Andreas Züfle, Matthias Renz, and Reynold Cheng (2015). Uncertain Voronoi Cell Computation Based on Space Decomposition. SSTD, 98-116, Springer, 10.1007/978-3-319-22363-6_6, BibTeX
Bo Zhu, Alexandru Mara, and Alberto Mozo (2015). CLUS: Parallel Subspace Clustering Algorithm on Spark. ADBIS (Short Papers and Workshops), 175-185, Springer, 10.1007/978-3-319-23201-0_20, BibTeX
Pengjie Ren, Peng Liu, Zhumin Chen, Jun Ma, and Xiaomeng Song (2015). Learning Similarity Functions for Urban Events Detection by Mining Hotline Phone Records. APWeb, 411-423, Springer, 10.1007/978-3-319-25255-1_34, BibTeX
Nadezhda Fedorova, Josep Blat, and David F. Nettleton (2015). Can Embedding Solve Scalability Issues for Mixed-Data Graph Clustering?. Euro-Par Workshops, 481-492, Springer, 10.1007/978-3-319-27308-2_39, BibTeX
Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Johannes Niedermayer, Matthias Renz, and Andreas Züfle (2015). On reverse-k-nearest-neighbor joins. GeoInformatica 19(2), 299-330, 10.1007/s10707-014-0215-5, BibTeX
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Barbora Micenková (2015). Outlier Detection and Explanation for Domain Experts. Department of Computer Science, University of Aarhus
Bryan Omar Collazo Santiago (2015). Machine learning blocks. Massachusetts Institute of Technology
Carl Levin, and Christopher Håkansson (2015). Clustering driver’s destinations - using internal evaluation to adaptively set parameters.
Gilad Armon, Adiel Loinger, Uri Blatt, and Shahar Siegman (2015). Benchmarking In Online Advertising.
Gordon O Ondego (2015). A comparative study of decision Tree and Naïve Bayesian Classifiers on Verbal Autopsy Datasets. University of Nairobi
I Gusti Bagus Ady Sutrisna, Kemas Rahmat Saleh Wiharja, and Alfian Akbar Gozali (2015). Penerapan Algoritma GRAC (Graph Algorithm Clustering) untuk Graph Database Compression). eProceedings of Engineering 2(1)
Irene Fernández Sánchez (2015). Diseño de una metodología de evaluación de servicios públicos basada en modelos analíticos sobre datos abiertos y de redes sociales. Telecomunicacion
Jonathan von Brünken, Michael E. Houle, and Arthur Zimek (2015). Intrinsic Dimensional Outlier Detection in High-Dimensional Data. NII Technical Report (NII-2015-003E), NII
Judit Kockat, and Clemens Rohde (2015). Conditions for local adaption of building policies in German cities according to their building structure and demography. ECEEE
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Křeček Martin (2015). Rozšíření platformy Clueminer o grafové algoritmy. České vysoké učení technické v Praze. Vypočetní a informační centrum.
Lasanthi Nilmini Heendaliya (2015). Enabling near-term prediction of status for intelligent transportation systems: Management techniques for data on mobile objects. Missouri University of Science and Technology
Lev Aleksandrovich Kazakovtsev, Aljona Aleksandrovna Stupina, Victor Ivanovich Orlov, Margarita Vladimirovna Karaseva, and Igor Sergeevich Masich (2015). Clustering Methods For Classification Of Electronic Devices By Production Batches And Quality Classes. Facta Universitatis, Series: Mathematics and Informatics 30(5), 567-581
Lev Aleksandrovich Kazakovtsev, Victor Orlov, Aljona Aleksandrovna Stupina, and Vladimir Kazakovtsev (2015). Modied Genetic Algorithm with Greedy Heuristic for Continuous and Discrete p-Median Problems. Facta Universitatis, Series: Mathematics and Informatics 30(1), 89-106
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Swetha Rajendiran (2015). Learning classification algorithms in data mining.
Tharindu R. Bandaragoda (2015). Isolation based anomaly detection: a re-examination. Monash University
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Zoltan Geler (2015). Role of Similarity Measures in Time Series Analysis. Универзитет у Новом Саду, Природно-математички факултет
Zoraida Emperatriz Mamani Rodríguez (2015). Aplicación de la minería de datos distribuida usando algoritmo de clustering k-means para mejorar la calidad de servicios de las organizaciones modernas caso: Poder judicial. Universidad Nacional Mayor de San Marcos. Programa Cybertesis PERÚ
Δημήτριος Νικηφοράκης (2015). Ομαδοποίηση γράφων με τους αλγόριθμους k-means και DBSCAN.
Л.А. Казаковцев, А.А. Ступина, and В.И. Орлов (2015). Выбор Метрики Для Системы Автоматической Классификации Электрорадиоизделий По Производственным Партиям. Программные продукты и системы, Закрытое акционерное общество Научно-исследовательский институт “Центрпрограммсистем”
신동화, 이세희, and 서진욱 (2015). 계층 발생 프레임워크를 이용한 군집 계층 시각화. 정보과학회 컴퓨팅의 실제 논문지 21(6), 436-441

2014

Maria Camila Nardini Barioni, Humberto Luiz Razente, Alessandra M. R. Marcelino, Agma J. M. Traina, and Caetano Traina Jr. (2014). Open issues for partitioning clustering methods: an overview. WIREs Data Mining Knowl. Discov. 4(3), 161-177, 10.1002/widm.1127, BibTeX
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Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, and Tharshan Vaithianathan (2014). A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. PAKDD (2), 461-473, Springer, 10.1007/978-3-319-06605-9_38, BibTeX
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Giuseppe Rizzo, Giacomo Falcone, Rosa Meo, Ruggero G. Pensa, Raphaël Troncy, and Vuk Milicic (2014). Geographic Summaries from Crowdsourced Data. ESWC (Satellite Events), 477-482, Springer, 10.1007/978-3-319-11955-7_70, BibTeX
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Kirill Smirnov, George A. Chernishev, Pavel Fedotovsky, George Erokhin, and Kirill Cherednik (2014). The Study of Multidimensional R-Tree-Based Index Scalability in Multicore Environment. Ershov Memorial Conference, 266-272, Springer, 10.1007/978-3-662-46823-4_22, BibTeX
Jeremy Steinhauer, Lois M. L. Delcambre, Marianne Lykke, and Marit Kristine Ådland (2014). Evaluating distance-based clustering for user (browse and click) sessions in a domain-specific collection. Int. J. Digit. Libr. 14(3-4), 167-179, 10.1007/s00799-014-0117-z, BibTeX
Erich Schubert, Arthur Zimek, and Hans-Peter Kriegel (2014). Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection. Data Min. Knowl. Discov. 28(1), 190-237, 10.1007/s10618-012-0300-z, BibTeX
Michael Davis, Weiru Liu, and Paul C. Miller (2014). Finding the most descriptive substructures in graphs with discrete and numeric labels. J. Intell. Inf. Syst. 42(2), 307-332, 10.1007/978-3-642-37382-4_10, BibTeX
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Allison Reilly, and Seth Guikema (2014). Bayesian Multiscale Modeling of Spatial Infrastructure Performance Predictions with an Application to Electric Power Outage Forecasting. J. Infrastruct. Syst., 04014036, American Society of Civil Engineers (ASCE), 10.1061/(ASCE)IS.1943-555X.0000222
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Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, and Jonathan R. Wells (2014). Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble. ICDM Workshops, 698-705, IEEE, 10.1109/ICDMW.2014.70, BibTeX
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Arthur Zimek, Ricardo J. G. B. Campello, and Jörg Sander (2014). Data perturbation for outlier detection ensembles. SSDBM, 13:1-13:12, ACM, 10.1145/2618243.2618257, BibTeX
Xiao He, Jing Feng, Bettina Konte, Son T. Mai, and Claudia Plant (2014). Relevant overlapping subspace clusters on categorical data. KDD, 213-222, ACM, 10.1145/2623330.2623652, BibTeX
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Erich Schubert, Michael Weiler, and Hans-Peter Kriegel (2014). SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds. KDD, 871-880, ACM, 10.1145/2623330.2623740, BibTeX
Dominique Legallois, Solen Quiniou, Peggy Cellier, and Thierry Charnois (2014). Graph Mining under Linguistic Constraints for Exploring Large Texts. Instituto Politécnico Nacional, 10.13053/cys-17-2-1529
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Reka K. Kelemen, Gengen F. He, Hannah L. Woo, Thomas Lane, Caroline Rempe, Jun Wang, Ian A. Cockburn, Rogerio Amino, Vitaly V. Ganusov, and Michael W. Berry (2014). Classification of T cell movement tracks allows for prediction of cell function. Int. J. Comput. Biol. Drug Des. 7(2/3), 113-129, 10.1504/IJCBDD.2014.061655, BibTeX
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Robert F. Erbacher, and Robinson Pino (2014). Open Source Software Tools for Anomaly Detection Analysis. Defense Technical Information Center, 10.21236/ada599306
Deborah Falcone, Cecilia Mascolo, Carmela Comito, Domenico Talia, and Jon Crowcroft (2014). What is this place? Inferring place categories through user patterns identification in geo-tagged tweets. MobiCASE, 10-19, IEEE, 10.4108/icst.mobicase.2014.257683, BibTeX
A. Mehta, and O. Dikshit (2014). SPCA Assisted Correlation Clustering of Hyperspectral Imagery. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8, 111-116, Copernicus GmbH, 10.5194/isprsannals-II-8-111-2014
Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, and Randy Goebel (2014). Model Selection for Semi-Supervised Clustering. EDBT, 331-342, OpenProceedings.org, 10.5441/002/edbt.2014.31, BibTeX
Felix Stahlberg, Tim Schlippe, Stephan Vogel, and Tanja Schultz (2014). Towards automatic speech recognition without pronunciation dictionary, transcribed speech and text resources in the target language using cross-lingual word-to-phoneme alignment. SLTU, 73-80, ISCA, BibTeX
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Richard Röttger (2014). Active transitivity clustering of large-scale biomedical datasets. Saarland University, BibTeX
Michael Davis (2014). Discovering patterns and anomalies in graphs with discrete and numeric attributes. Queen’s University Belfast, UK, BibTeX
Ibrahim Mithgal Aljarah (2014). MapReduce-enabled scalable nature-inspired approaches for clustering. North Dakota State University, 978-1-303-83676-3
Samuel Valentine (2014). Sentiment Analysis 19 Success Secrets - 19 Most Asked Questions On Sentiment Analysis - What You Need To Know. Emereo Publishing, 9781488535208
Adnan Karaibrahimoğlu (2014). Veri madenciliğinden birliktelik kuralı ile onkoloji verilerinin analiz edilmesi: Meram Tıp Fakültesi Onkoloji örneği (Analyzing breast cancer data using association rule mining: Meram Faculty of Medicine Oncology Department). Selçuk Üniversitesi Fen Bilimleri Enstitüsü
Andrea Bagnacani (2014). Linked Data e bibliometriche: un indice di multidisciplinarieta nel Semantic Publishing.
Björn Löfroth (2014). Mobile traffic dataset comparisons throughcluster analysis of radio network event sequences.
Borut Sluban (2014). Ensemble-Based Noise And Outlier Detection. Jožef Stefan International Postgraduate School
Davi Felipe Russi (2014). Uso de dados de redes sociais para detecção de problemas de mobilidade urbana. Universidade Federal de Santa Maria
Ektabahen Kanubhai Patel (2014). A web based data mining courseware.
Florian Hoidn (2014). The Analytics Center: Devising a Citizen Science Data Mining Tool for the ARTigo Image Tagging Project. Ludwig-Maximilians-Universität München
Haofan Zhang (2014). Spectral Ranking and Unsupervised Feature Selection for Point, Collective and Contextual Anomaly Detection.
Henrik Larsson, and Erik Lindqvist (2014). Unsupervised Outlier Detection in Software Engineering. Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola
Jichao Sun (2014). Local selection of features and its applications to image search and annotation. New Jersey Institute of Technology
João Luiz Grave Gross (2014). URSA: um framework para agrupamento de dados e validação de resultados (URSA: a framework for data clustering and data analysis).
Kaisa Vent (2014). Inimese tegevuskohtade leidmine nutitelefonipõhiste käitumisandmestike alusel. Tartu Ülikool
Milan. Vukićević (2014). Razvoj i projektovanje algoritama za klasterovanje ekspresija gena (Development and design of algorithms for clustering gene expression data: doctoral dissertation). Univerzitet u Beogradu, Fakultet organizacionih nauka
Monika Kofler (2014). Optimising the storage location assignment problem under dynamic conditions.
Muhammad Sohail (2014). Calculation of Energy Footprint of Manufacturing Assets.
Nicola Padovano, and Elia Filiberto Polo (2014). Progetto e realizzazione di un framework per Neosperience sul clustering di reti sociali. Italy
Pratik Kumar Mishra, Dinesh Pothineni, Aadil Rasheed, Deepak Sundararajan, Ashok Krish, Hasit Kaji, and Tata Consultancy Services Limited (2014). System and Method for Determining an Expert of a Subject on a Web-based Platform.
R.J. Ma, and N.Y. Yu (2014). A new route for energy efficiency diagnosis and potential analysis of energy consumption from air-conditioning system. Energy Systems Laboratory (http://esl.tamu.edu)
Reka Katalin Kelemen (2014). Mathematical modeling of T cell clustering following malaria infection in mice. University of Tennessee, Knoxville
Ritesh Shukla (2014). Machine learning ecosystem: implications for business strategy centered on machine learning. Massachusetts Institute of Technology
Sheila Mollá Santiago (2014). Generalització de mètodes de density-based clustering a dades mixtes. Universitat Politècnica de Catalunya
Tânia Margarida dos Santos Gomes (2014). Ferramentas open source de Data Mining.
V. Ilango (2014). Forecasting Methods Based on Outlier Detection And Influential Point Observation on Clustering Techniques Using Financial Time Series Data. Virudhunagar
Y.P.J.M. van Oirschot (2014). Using Trace Clustering for Configurable Process Discovery Explained by Event Log Data.
И.А. Пестунов, and С.А. Рылов (2014). Метод построения ансамбля сеточных иерархических алгоритмов кластеризации для сегментации спутниковых изображений. Региональные проблемы дистанционного зондирования Земли, 215-223
Казаковцев Лев Александрович, Орлов Виктор Иванович, Ступина Алена Александровна, and Масич Игорь Сергеевич (2014). Задача классификации электронной компонентной базы. Вестник Сибирского государственного университета науки и технологий имени академика М. Ф. Решетнева, Федеральное государственное бюджетное образовательное учреждение высшего образования «Сибирский государственный университет науки и технологий имени академика М.Ф. Решетнева»

2013

Zeyar Aung (2013). Database Systems for the Smart Grid. Smart Grids, 151-168, Springer, 10.1007/978-1-4471-5210-1_7
Charu C. Aggarwal (2013). Outlier Analysis. Springer, 10.1007/978-1-4614-6396-2, BibTeX
Charu C. Aggarwal (2013). Applications of Outlier Analysis. Outlier Analysis, 373-400, Springer, 10.1007/978-1-4614-6396-2_12
Charu C. Aggarwal (2013). High-Dimensional Outlier Detection: The Subspace Method. Outlier Analysis, 135-167, Springer, 10.1007/978-1-4614-6396-2_5
Jordi Nin, David Carrera, and Daniel Villatoro (2013). On the Use of Social Trajectory-Based Clustering Methods for Public Transport Optimization. CitiSens, 59-70, Springer, 10.1007/978-3-319-04178-0_6, BibTeX
Mark J. Embrechts, Christopher J. Gatti, Jonathan Linton, and Badrinath Roysam (2013). Hierarchical Clustering for Large Data Sets. Advances in Intelligent Signal Processing and Data Mining, 197-233, Springer, 10.1007/978-3-642-28696-4_8
Mariusz Oszust, and Marian Wysocki (2013). Clustering and Classification of Time Series Representing Sign Language Words. ICAISC (2), 218-229, Springer, 10.1007/978-3-642-38610-7_21, BibTeX
Rana Momtaz, Nesma Mohssen, and Mohammad A. Gowayyed (2013). DWOF: A Robust Density-Based Outlier Detection Approach. IbPRIA, 517-525, Springer, 10.1007/978-3-642-38628-2_61, BibTeX
Felix Stahlberg, Tim Schlippe, Stephan Vogel, and Tanja Schultz (2013). Pronunciation Extraction from Phoneme Sequences through Cross-Lingual Word-to-Phoneme Alignment. SLSP, 260-272, Springer, 10.1007/978-3-642-39593-2_23, BibTeX
Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Johannes Niedermayer, Matthias Renz, and Andreas Züfle (2013). Reverse-k-Nearest-Neighbor Join Processing. SSTD, 277-294, Springer, 10.1007/978-3-642-40235-7_16, BibTeX
Erich Schubert, Arthur Zimek, and Hans-Peter Kriegel (2013). Geodetic Distance Queries on R-Trees for Indexing Geographic Data. SSTD, 146-164, Springer, 10.1007/978-3-642-40235-7_9, BibTeX
Jeremy Steinhauer, Lois M. L. Delcambre, Marianne Lykke, and Marit Kristine Ådland (2013). Do User (Browse and Click) Sessions Relate to Their Questions in a Domain-Specific Collection?. TPDL, 96-107, Springer, 10.1007/978-3-642-40501-3_10, BibTeX
Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, and Renaud Cezar (2013). A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. Discovery Science, 249-264, Springer, 10.1007/978-3-642-40897-7_17, BibTeX
Xuan-Hong Dang, Barbora Micenková, Ira Assent, and Raymond T. Ng (2013). Local Outlier Detection with Interpretation. ECML/PKDD (3), 304-320, Springer, 10.1007/978-3-642-40994-3_20, BibTeX
Part Pramokchon, and Punpiti Piamsa-nga (2013). An Unsupervised, Fast Correlation-Based Filter for Feature Selection for Data Clustering. DaEng, 87-94, Springer, 10.1007/978-981-4585-18-7_10, BibTeX
Christophe Jardin, Arno G. Stefani, Martin Eberhardt, Johannes B. Huber, and Heinrich Sticht (2013). An information-theoretic classification of amino acids for the assessment of interfaces in protein–protein docking. Journal of Molecular Modeling 19(9), 3901-3910, Springer, 10.1007/s00894-013-1916-7
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, and Sunil Aryal (2013). DEMass: a new density estimator for big data. Knowl. Inf. Syst. 35(3), 493-524, 10.1007/s10115-013-0612-3, BibTeX
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, and Swee Chuan Tan (2013). Mass estimation. Mach. Learn. 90(1), 127-160, 10.1007/s10994-012-5303-x, BibTeX
Ibrahim Aljarah, and Simone A. Ludwig (2013). A new clustering approach based on Glowworm Swarm Optimization. IEEE Congress on Evolutionary Computation, 2642-2649, IEEE, 10.1109/CEC.2013.6557888, BibTeX
Yang Zhao, and Abhishek K. Shrivastava (2013). Combating Sub-Clusters Effect in Imbalanced Classification. ICDM, 1295-1300, IEEE, 10.1109/ICDM.2013.105, BibTeX
Barbora Micenková, Raymond T. Ng, Xuan-Hong Dang, and Ira Assent (2013). Explaining Outliers by Subspace Separability. ICDM, 518-527, IEEE, 10.1109/ICDM.2013.132, BibTeX
Arian Bär, Antonio Paciello, and Peter Romirer-Maierhofer (2013). Trapping botnets by DNS failure graphs: Validation, extension and application to a 3G network. INFOCOM, 3159-3164, IEEE, 10.1109/INFCOM.2013.6567131, BibTeX
Arian Bär, Antonio Paciello, and Peter Romirer-Maierhofer (2013). Trapping botnets by DNS failure graphs: Validation, extension and application to a 3G network. INFOCOM Workshops, 393-398, IEEE, 10.1109/INFCOMW.2013.6562863, BibTeX
Amine Chaibi, Mustapha Lebbah, and Hanane Azzag (2013). A New Visualization of Group-Outliers in Unsupervised Learning. IV, 162-167, IEEE, 10.1109/IV.2013.20, BibTeX
Elke Achtert, Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2013). Interactive data mining with 3D-parallel-coordinate-trees. SIGMOD Conference, 1009-1012, ACM, 10.1145/2463676.2463696, BibTeX
Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, and Jörg Sander (2013). Subsampling for efficient and effective unsupervised outlier detection ensembles. KDD, 428-436, ACM, 10.1145/2487575.2487676, BibTeX
Benjamin Welton, Evan Samanas, and Barton P. Miller (2013). Mr. Scan: extreme scale density-based clustering using a tree-based network of GPGPU nodes. SC, 84:1-84:11, ACM, 10.1145/2503210.2503262, BibTeX
Johannes Schneider, and Michail Vlachos (2013). Fast parameterless density-based clustering via random projections. CIKM, 861-866, ACM, 10.1145/2505515.2505590, BibTeX
Toon De Pessemier, Simon Dooms, and Luc Martens (2013). A food recommender for patients in a care facility. RecSys, 209-212, ACM, 10.1145/2507157.2507198, BibTeX
Solen Quiniou, Peggy Cellier, Thierry Charnois, and Dominique Legallois (2013). Graph Mining under Linguistic Constraints for Exploring Large Texts. Computación y Sistemas 17(2), 239-250, 10.13053/cys-17-2-1529
Charu C. Aggarwal, and Chandan K. Reddy (2013). Educational and Software Resources for Data Clustering. Data Clustering: Algorithms and Applications, 607-616, CRC Press, 10.1201/9781315373515-24, BibTeX
David Ando, Michael Colvin, Michael Rexach, and Ajay Gopinathan (2013). Physical Motif Clustering within Intrinsically Disordered Nucleoporin Sequences Reveals Universal Functional Features. PLoS ONE 8(9), e73831, Public Library of Science (PLoS), 10.1371/journal.pone.0073831
Martin Schäler, Alexander Grebhahn, Reimar Schröter, Sandro Schulze, Veit Köppen, and Gunter Saake (2013). QuEval: Beyond high-dimensional indexing a la carte. Proc. VLDB Endow. 6(14), 1654-1665, 10.14778/2556549.2556551, BibTeX
Kai M. Ting (2013). Second Generation of Mass Estimation. Defense Technical Information Center, 10.21236/ada590623
Martin Behnisch, Gotthard Meinel, Sebastian Tramsen, and Markus Diesselmann (2013). Using quadtree representations in building stock visualization and analysis. Erdkunde 67(2), 151-166, Erdkunde, 10.3112/erdkunde.2013.02.04
Jai PrakashVerma, Bankim Patel, and Atul Patel (2013). Web Mining: Opinion and Feedback Analysis for Educational Institutions. International Journal of Computer Applications 84(6), 17-22, Foundation of Computer Science, 10.5120/14579-2800
Arthur Zimek (2013). Clustering High-Dimensional Data. Data Clustering: Algorithms and Applications, 201-230, BibTeX
Tobias Emrich, Peer Kröger, Johannes Niedermayer, Matthias Renz, and Andreas Züfle (2013). A Mutual Pruning Approach for RkNN Join Processing. BTW, 21-35, GI, BibTeX
Sylvain Dormieu, and Nicolas Labroche (2013). SNOW, un algorithme exploratoire pour le subspace clustering. EGC, 79-84, Hermann-Éditions, BibTeX
Jens Ehlers (2013). Self-Adaptive Performance Monitoring for Component-Based Software Systems. Softwaretechnik-Trends 33(2), BibTeX
Tobias Emrich (2013). Coping with distance and location dependencies in spatial, temporal and uncertain data. Ludwig Maximilians University Munich, BibTeX
Hardy Kremer (2013). Mining and similarity search in temporal databases. RWTH Aachen University, BibTeX
Daniel Kuntze (2013). Practical algorithms for clustering and modeling large data sets: analysis and improvements. 1-130, University of Paderborn, BibTeX
Erich Schubert (2013). Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining. 1-262, Ludwig Maximilians University Munich, BibTeX
Andreas Züfle (2013). Similarity search and mining in uncertain spatial and spatio-temporal databases. 1-397, Ludwig Maximilians University Munich, BibTeX
Matthew Orlinski (2013). Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. University of Manchester, UK, BibTeX
Claire Elizabeth Q (2013). Machine learning analysis of the cultural and cross-cultural aspects of beauty in music. Aberystwyth University, UK, BibTeX
Thomas H. Davenport, and Jinho Kim (2013). Keeping Up with the Quants. Your Guide to Understanding and Using Analytics. Harvard Business Press, 9781422187265
Ivanka Menken (2013). Data Mining Guidance - Real World Application, Templates, Documents, and Examples of the use of Data Mining in the Public Domain. Emereo Publishing, 9781486460458
Albrecht Zimmermann (2013). Feature construction based on class outliers. CW Reports
Bruno Daigle (2013). Méthodes bioinformatiques pour l’évaluation de la classification du virus du papillome humain. Université du Québec à Montréal
Curdin Barandun, Stefan Derungs, and Gino Paulaitis (2013). Mixtape: Analyse und Erstellung Ähnlichkeitsanalyse von Musik anhand einer praktischen Implementation. HSR Hochschule für Technik Rapperswil
Jan Vykopal (2013). Flow-based Brute-force Attack Detection in Large and High-speed Networks. Masarykova univerzita, Fakulta informatiky
Jan Vykopal (2013). SimFlow - a similarity-based detection of brute-force attacks.
Luiz O. Carvalho, Thatyana F. P. Seraphim, Caetano Traina Júnior, and Enzo Seraphim (2013). ObInject: a NoODMG Persistence and Indexing Framework for Object Injection. Journal of Information and Data Management 4(3), 220
Manish Gupta (2013). Outlier detection for information networks. University of Illinois at Urbana-Champaign
Maria José Gomes Pedroto (2013). Estimação de Massa em Energia Eólica.
N Ronald (2013). Workers, adventurers, explorers: uncovering activity patterns in Melbourne. Australasian Transport Research Forum (ATRF), 36th, 2013, Brisbane, Queensland, Australia
Solen Quiniou, Peggy Cellier, Thierry Charnois, and Dominique Legallois (2013). Graph Mining under Linguistic Constraints to Explore Large Texts. International Conference on Intelligent Text Processing and Computational Linguistics (CICLing’13)
Stefan Eduard Raposo Alves (2013). Towards improving WEBSOM with multi-word expressions. Faculdade de Ciências e Tecnologia
Vladimír Matejovský (2013). Podpora shlukování webových stránek pomocí link mining. Masarykova univerzita, Fakulta informatiky

2012

Arthur Zimek, Erich Schubert, and Hans-Peter Kriegel (2012). A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. 5(5), 363-387, 10.1002/sam.11161, BibTeX
Hans-Peter Kriegel, Peer Kröger, and Arthur Zimek (2012). Subspace clustering. WIREs Data Mining Knowl. Discov. 2(4), 351-364, 10.1002/widm.1057, BibTeX
Charu C. Aggarwal (2012). An Introduction to Outlier Analysis. Outlier Analysis, 1-40, Springer, 10.1007/978-1-4614-6396-2_1
Dawn E. Holmes, Jeffrey Tweedale, and Lakhmi C. Jain (2012). Data Mining Techniques in Clustering, Association and Classification. Data Mining: Foundations and Intelligent Paradigms, 1-6, Springer, 10.1007/978-3-642-23166-7_1
Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, and Jesse Read (2012). Stream Data Mining Using the MOA Framework. DASFAA (2), 309-313, Springer, 10.1007/978-3-642-29035-0_27, BibTeX
Ira Assent, Philipp Kranen, Corinna Baldauf, and Thomas Seidl (2012). AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1), 228-242, Springer, 10.1007/978-3-642-29038-1_18, BibTeX
Eva Kühn, Alexander Marek, Thomas Scheller, Vesna Sesum-Cavic, Michael Vögler, and Stefan Craß (2012). A Space-Based Generic Pattern for Self-Initiative Load Clustering Agents. COORDINATION, 230-244, Springer, 10.1007/978-3-642-30829-1_16, BibTeX
Emmanuel Müller, Fabian Keller, Sebastian Blanc, and Klemens Böhm (2012). OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. ECML/PKDD (2), 828-832, Springer, 10.1007/978-3-642-33486-3_57, BibTeX
Mohamed Bouguessa (2012). Modeling Outlier Score Distributions. ADMA, 713-725, Springer, 10.1007/978-3-642-35527-1_59, BibTeX
Michael Davis, Weiru Liu, and Paul C. Miller (2012). Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels. NFMCP, 138-154, Springer, 10.1007/978-3-642-37382-4_10, BibTeX
Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Kathrin Kirchner, Johannes Ruhland, and Milija Suknovic (2012). An architecture for component-based design of representative-based clustering algorithms. Data Knowl. Eng. 75, 78-98, 10.1016/j.datak.2012.03.005, BibTeX
Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2012). Evaluation of Clusterings - Metrics and Visual Support. ICDE, 1285-1288, IEEE, 10.1109/ICDE.2012.128, BibTeX
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, and Arthur Zimek (2012). Outlier Detection in Arbitrarily Oriented Subspaces. ICDM, 379-388, IEEE, 10.1109/ICDM.2012.21, BibTeX
Mohamed Bouguessa (2012). A Probabilistic Combination Approach to Improve Outlier Detection. ICTAI, 666-673, IEEE, 10.1109/ICTAI.2012.95, BibTeX
Monalisa Mandal, and Anirban Mukhopadhyay (2012). Identifying most relevant non-redundant gene markers from gene expression data using PSO-based graph -theoretic approach. 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, 374-379, IEEE, 10.1109/PDGC.2012.6449849
Erich Schubert, Remigius Wojdanowski, Arthur Zimek, and Hans-Peter Kriegel (2012). On Evaluation of Outlier Rankings and Outlier Scores. SDM, 1047-1058, SIAM / Omnipress, 10.1137/1.9781611972825.90, BibTeX
Thomas Bernecker, Franz Graf, Hans-Peter Kriegel, Nepomuk Seiler, Christoph Türmer, and Dieter Dill (2012). Knowing: a generic data analysis application. EDBT, 630-633, ACM, 10.1145/2247596.2247683, BibTeX
Stephan Günnemann, Ines Färber, Kittipat Virochsiri, and Thomas Seidl (2012). Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. KDD, 352-360, ACM, 10.1145/2339530.2339588, BibTeX
Linda Dib, and Alessandra Carbone (2012). CLAG: an unsupervised non hierarchical clustering algorithm handling biological data. BMC Bioinform. 13, 194, 10.1186/1471-2105-13-194, BibTeX
Thomas Bernecker (2012). Similarity processing in multi-observation data. 1-253, Ludwig Maximilian University of Munich, Germany, BibTeX
Jens Ehlers (2012). Self-adaptive performance monitoring for component-based software systems. 1-232, University of Kiel, BibTeX
Franz Graf (2012). Data and knowledge engineering for medical image and sensor data. 1-221, Ludwig Maximilian University of Munich, Germany, BibTeX
Stephan Günnemann (2012). Subspace clustering for complex data. RWTH Aachen University, BibTeX
Steffen Suchandt, and Hartmut Runge (2012). Along-track interferometry using TanDEM-X: First results from marine and land applications. EUSAR 2012; 9th European Conference on Synthetic Aperture Radar, 392-395, VDE, 978-3-8007-3404-7
Arthur Zimek (2012). There and Back Again Outlier Detection between Statistical Reasoning and Efficient Database Methods.
Bruno Tavares (2012). Sistema de recomendação para plataformas de e-learning. Instituto Politécnico do Porto. Instituto Superior de Engenharia do Porto
E. B. Beuschau (2012). Learning usage behavior based on app feedback.
Francesco Indaco (2012). Hierarchical Clustering Using Level Sets. San Jose State University
Ilango Velchamy, R Subramanian, and V Vasudevan (2012). A Five Step Procedure for Outlier Analysis in Data Mining. European Journal of Scientific Research
Γρηγόριος Αθανασίου (2012). Business plan νέας ηλεκτρονικής επιχείρησης (Δημιουργία-Εφαρμογή). Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών
Νικόλαος Δ. Γρίβας, and Nikolaos D. Grivas (2012). Υπολογισμός ισοχρονικών καμπύλων χρονοαπόστασης σε οδικά δίκτυα (Isochrone computation on road networks).

2011

Hans-Peter Kriegel, Peer Kröger, Jörg Sander, and Arthur Zimek (2011). Density-based clustering. WIREs Data Mining Knowl. Discov. 1(3), 231-240, 10.1002/widm.30, BibTeX
Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, and Arthur Zimek (2011). Quality of Similarity Rankings in Time Series. SSTD, 422-440, Springer, 10.1007/978-3-642-22922-0_25, BibTeX
Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2011). Spatial Outlier Detection: Data, Algorithms, Visualizations. SSTD, 512-516, Springer, 10.1007/978-3-642-22922-0_41, BibTeX
Yong Shi, and Li Zhang (2011). COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis. Knowl. Inf. Syst. 28(3), 709-733, 10.1007/s10115-010-0323-y, BibTeX
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, and Fei Tony Liu (2011). Density Estimation Based on Mass. ICDM, 715-724, IEEE, 10.1109/ICDM.2011.47, BibTeX
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, and Arthur Zimek (2011). Interpreting and Unifying Outlier Scores. SDM, 13-24, SIAM / Omnipress, 10.1137/1.9781611972818.2, BibTeX
Claudia Plant (2011). SONAR: Signal De-mixing for Robust Correlation Clustering. SDM, 319-330, SIAM / Omnipress, 10.1137/1.9781611972818.28, BibTeX
Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, and Thomas Seidl (2011). Employing correlation clustering for the identification of piecewise affine models. Proceedings of the 2011 workshop on Knowledge discovery, modeling and simulation - KDMS ‘11, ACM Press, 10.1145/2023568.2023575
Stephan Günnemann, Hardy Kremer, and Thomas Seidl (2011). An extension of the PMML standard to subspace clustering models. Proceedings of the 2011 workshop on Predictive markup language modeling - PMML ‘11, ACM Press, 10.1145/2023598.2023605
Resat Selbas, Arzu Sencan, and Ecir U. (2011). Data Mining Method For Energy System Aplications. Knowledge-Oriented Applications in Data Mining, InTech, 10.5772/13710
Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, and Thomas Seidl (2011). A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW, 347-366, GI, BibTeX
Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2011). Evaluation of Multiple Clustering Solutions. MultiClust@ECML/PKDD, 55-66, CEUR-WS.org, BibTeX
Johan Mazel (2011). Unsupervised network anomaly detection. (Détection non supervisée d’anomalies dans les réseaux de communication). INSA Toulouse, France, BibTeX
Bilkis Jamal Ferdosi (2011). Scalable analysis and visualization of high-dimensional astronomical data sets. s.n. 9789036749633
Iliya Mitov (2011). Class association rule mining using multidimensional numbered information spaces.
Ευλάμπιος Αποστολίδης (2011). Συγκριτική μελέτη μεθόδων κατασκευής του R* TREE με όρους αποδοτικότητας για ερωτήματα κοντινότερου γείτονα σε πολυδιάστατους χώρους δεδομένων. Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών

2010

Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, and Arthur Zimek (2010). Visual Evaluation of Outlier Detection Models. DASFAA (2), 396-399, Springer, 10.1007/978-3-642-12098-5_34, BibTeX
Dominik Benz, Andreas Hotho, Robert Jäschke, Beate Krause, Folke Mitzlaff, Christoph Schmitz, and Gerd Stumme (2010). The social bookmark and publication management system bibsonomy - A platform for evaluating and demonstrating Web 2.0 research. VLDB J. 19(6), 849-875, 10.1007/s00778-010-0208-4, BibTeX
Arik Messerman, Tarik Mustafic, Seyit Ahmet Çamtepe, and Sahin Albayrak (2010). A generic framework and runtime environment for development and evaluation of behavioral biometrics solutions. ISDA, 136-141, IEEE, 10.1109/ISDA.2010.5687276, BibTeX
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott C. Trager, Michael H. F. Wilkinson, and Jos B. T. M. Roerdink (2010). Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological operators. IEEE VAST, 35-42, IEEE, 10.1109/VAST.2010.5652450, BibTeX
Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, and Andreas Züfle (2010). Boosting spatial pruning: on optimal pruning of MBRs. SIGMOD Conference, 39-50, ACM, 10.1145/1807167.1807174, BibTeX
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, and James Swee Chuan Tan (2010). Mass estimation and its applications. KDD, 989-998, ACM, 10.1145/1835804.1835929, BibTeX
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, and Marisa Thoma (2010). On the impact of flash SSDs on spatial indexing. DaMoN, 3-8, ACM, 10.1145/1869389.1869390, BibTeX
Emmanuel Alexander Müller (2010). Efficient knowledge discovery in subspaces of high dimensional databases. 1-270, RWTH Aachen University, BibTeX
Albert Hein, and Thomas Kirste (2010). Unsupervised detection of motion primitives in very high dimensional sensor data. BMI, 22-37, CEUR-WS.org

2009

Hans-Peter Kriegel, Peer Kröger, Erich Schubert, and Arthur Zimek (2009). Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD, 831-838, Springer, 10.1007/978-3-642-01307-2_86, BibTeX
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, and Arthur Zimek (2009). ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. SSTD, 436-440, Springer, 10.1007/978-3-642-02982-0_35, BibTeX
Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, and Jörg Sander (2009). Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. 21(3), 299-326, 10.1007/s10115-009-0226-y, BibTeX
Hans-Peter Kriegel, Peer Kröger, and Arthur Zimek (2009). Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data 3(1), 1:1-1:58, 10.1145/1497577.1497578, BibTeX
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, and Arthur Zimek (2009). LoOP: local outlier probabilities. CIKM, 1649-1652, ACM, 10.1145/1645953.1646195, BibTeX
Arthur Zimek (2009). Correlation clustering. SIGKDD Explor. 11(1), 53-54, 10.1145/1656274.1656286, BibTeX