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

Class Klosgen

java.lang.Object

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

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="W. Kl\u00f6sgen",
           title="Explora: A multipattern and multistrategy discovery assistant",
           booktitle="Advances in Knowledge Discovery and Data Mining",
           bibkey="DBLP:books/mit/fayyadPSU96/Klosgen96")
public class Klosgen
extends java.lang.Object
implements InterestingnessMeasure

Klösgen interestingness measure.

\[ \sqrt{\text{support}(X\cup Y)} \left(\text{confidence}(X \rightarrow Y) - \text{support}(Y)\right) = \sqrt{P(X\cap Y)}\left(P(Y|X)-P(Y)\right) \]

Reference:

W. Klösgen
Explora: A multipattern and multistrategy discovery assistant
Advances in Knowledge Discovery and Data Mining

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
Klosgen() 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

Klosgen

public Klosgen()

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