de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest

Class Cosine

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Cosine

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="P. Tan, V. Kumar",
           title="Interestingness measures for association patterns: A perspective",
           booktitle="Proc. Workshop on Postprocessing in Machine Learning and Data Mining",
           url="https://www.cs.umn.edu/sites/cs.umn.edu/files/tech_reports/00-036.pdf",
           bibkey="tr/umn/TanK00")
public class Cosine
extends java.lang.Object
implements InterestingnessMeasure

Cosine interestingness measure, \(\tfrac{\text{support}(A\cup B)}{\sqrt{\text{support}(A)\text{support}(B)}} =\tfrac{P(A\cap B)}{\sqrt{P(A)P(B)}}\).

The interestingness measure called IS by Tan and Kumar.

Reference:

P. Tan, V. Kumar
Interestingness measures for association patterns: A perspective
In Proc. Workshop on Postprocessing in Machine Learning and Data Mining

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
Cosine() Constructor.

Method Summary

Modifier and Type	Method and Description
double	measure(int t, int sX, int sY, int sXY) Computes the value of the measure for a given support values

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Cosine

public Cosine()

Constructor.

Method Detail

measure

public double measure(int t,
                      int sX,
                      int sY,
                      int sXY)

Description copied from interface: InterestingnessMeasure

Computes the value of the measure for a given support values

Specified by:

measure in interface InterestingnessMeasure

Parameters:

t - Total number of transaction

sX - Support of the antecedent

sY - Support of the consequent

sXY - Support of the union of antecedent and consequent

Returns:

value of the measure