Package elki.itemsetmining.associationrules.interest

Class SebagSchonauer

  • All Implemented Interfaces:
    InterestingnessMeasure
    @Reference(authors="M. Sebag, M. Schoenauer",
           title="Generation of rules with certainty and confidence factors from incomplete and incoherent learning bases",
           booktitle="Proceedings of the European Knowledge Acquisition Workshop (EKAW\'88)",
           bibkey="conf/ekaw/SebagS88")
public class SebagSchonauer
extends java.lang.Object
implements InterestingnessMeasure
    Sebag Schonauer interestingness measure.

    \[ \frac{P(X \cap Y)}{P(X \cap \neg Y)} \]

    Reference:

    M. Sebag, M. Schoenauer
    Generation of rules with certainty and confidence factors from incomplete and incoherent learning bases
    Proceedings of the European Knowledge Acquisition Workshop (EKAW'88)

    Since:
    0.8.0
    Author:
    Abhishek Sharma

    • Constructor Summary

      Constructors 
      Constructor Description
      SebagSchonauer()
      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

      • SebagSchonauer

        public SebagSchonauer()
        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