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

Class JMeasure

java.lang.Object

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

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="R. M. Goodman, P. Smyth",
           title="Rule induction using information theory",
           booktitle="Knowledge Discovery in Databases 1991",
           bibkey="DBLP:books/mit/PF91/SmythG91")
public class JMeasure
extends java.lang.Object
implements InterestingnessMeasure

J-Measure interestingness measure. \(P(X\cap Y)\log\tfrac{P(Y|X)}{P(Y)} + P(X\cap \neg Y)\log\tfrac{P(\neg Y|X)}{P(\neg Y)}\).

Reference:

R. M. Goodman, P. Smyth
Rule induction using information theory
Knowledge Discovery in Databases 1991

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
JMeasure() 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

JMeasure

public JMeasure()

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