Package elki.itemsetmining.associationrules.interest

Class Confidence

  • All Implemented Interfaces:
    InterestingnessMeasure
    @Reference(authors="R. Agrawal, T. Imielinski, A. Swami",
           title="Mining association rules between sets of items in large databases",
           booktitle="Proc. ACM SIGMOD International Conference on Management of Data",
           url="https://doi.org/10.1145/170036.170072",
           bibkey="DBLP:conf/sigmod/AgrawalIS93")
public class Confidence
extends java.lang.Object
implements InterestingnessMeasure
    Confidence interestingness measure, \( \tfrac{\text{support}(X \cup Y)}{\text{support}(X)} = \tfrac{P(X \cap Y)}{P(X)}=P(Y|X) \).

    Reference:

    R. Agrawal, T. Imielinski, A. Swami
    Mining association rules between sets of items in large databases
    Proc. ACM SIGMOD International Conference on Management of Data

    Since:
    0.7.5
    Author:
    Frederic Sautter

    • Constructor Summary

      Constructors 
      Constructor Description
      Confidence()
      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

      • Confidence

        public Confidence()
        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