Package elki.itemsetmining.associationrules.interest

Class 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 Description
      AddedValue()
      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

      • 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