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

Class Leverage

java.lang.Object

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

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="G. Piatetsky-Shapiro",
           title="Discovery, analysis, and presentation of strong rules",
           booktitle="Knowledge Discovery in Databases 1991",
           bibkey="DBLP:books/mit/PF91/Piatetsky91")
public class Leverage
extends java.lang.Object
implements InterestingnessMeasure

Leverage interestingness measure.

\[ \text{support}(X\Rightarrow Y)-\text{support}(X)\text{support}(Y) =P(X\cap Y)-P(X)P(Y) \]

Reference:

G. Piatetsky-Shapiro
Discovery, analysis, and presentation of strong rules
In Knowledge Discovery in Databases 1991

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
Leverage() 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

Leverage

public Leverage()

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