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

Class AddedValue

java.lang.Object

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

All Implemented Interfaces:

InterestingnessMeasure

@Reference(authors="S. Sahar, Sigal, Y. Mansour",
           title="Empirical evaluation of interest-level criteria",
           booktitle="Proc. SPIE 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology",
           url="https://doi.org/10.1117/12.339991",
           bibkey="DBLP:conf/dmkdttt/SaharM99")
public class AddedValue
extends java.lang.Object
implements InterestingnessMeasure

Added value (AV) interestingness measure: \( \text{confidence}(X \rightarrow Y) - \text{support}(Y) = P(Y|X)-P(Y) \).

Reference:

S. Sahar, Sigal, Y. Mansour
Empirical evaluation of interest-level criteria
Proc. SPIE 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology

Since:

0.7.5

Author:

Frederic Sautter

Constructor Summary

Constructors

Constructor and Description
AddedValue() 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

AddedValue

public AddedValue()

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