Package elki.itemsetmining.associationrules.interest

Class 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 Description
      JMeasure()
      Constructor.

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method 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