Package elki.itemsetmining.associationrules.interest

Class Conviction

  • All Implemented Interfaces:
    InterestingnessMeasure
    @Reference(authors="S. Brin, R. Motwani, J. D Ullman, S Tsur",
           title="Dynamic itemset counting and implication rules for market basket data",
           booktitle="Proc. 1997 ACM SIGMOD international conference on management of data",
           url="https://doi.org/10.1145/253260.253325",
           bibkey="DBLP:conf/sigmod/BrinMUT97")
public class Conviction
extends java.lang.Object
implements InterestingnessMeasure
    Conviction interestingness measure: \(\frac{P(X) P(\neg Y)}{P(X\cap\neg Y)}\).

    Reference:

    S. Brin, R. Motwani, J. D Ullman, S Tsur
    Dynamic itemset counting and implication rules for market basket data
    In Proc. 1997 ACM SIGMOD international conference on management of data

    Since:
    0.7.5
    Author:
    Frederic Sautter

    • Constructor Summary

      Constructors 
      Constructor Description
      Conviction()
      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

      • Conviction

        public Conviction()
        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