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

Class CertaintyFactor

java.lang.Object

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

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="F. Berzal, I. Blanco, D. S\u00e1nchez, M. Vila",
           title="Measuring the accuracy and interest of association rules: A new framework",
           booktitle="Intelligent Data Analysis, 6(3), 2002",
           url="http://content.iospress.com/articles/intelligent-data-analysis/ida00089",
           bibkey="DBLP:journals/ida/GalianoBSM02")
 @Alias(value="Loevinger")
public class CertaintyFactor
extends java.lang.Object
implements InterestingnessMeasure

Certainty factor (CF; Loevinger) interestingness measure. \( \tfrac{\text{confidence}(X \rightarrow Y) - \text{support}(Y)}{\text{support}(\neg Y)} \).

Reference:

F. Berzal, I. Blanco, D. Sánchez, M. Vila
Measuring the accuracy and interest of association rules: A new framework
Intelligent Data Analysis, 6(3), 2002

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
CertaintyFactor() 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

CertaintyFactor

public CertaintyFactor()

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