Package elki.itemsetmining.associationrules.interest

Class Cosine

  • All Implemented Interfaces:
    InterestingnessMeasure
    @Reference(authors="P. Tan, V. Kumar",
           title="Interestingness measures for association patterns: A perspective",
           booktitle="Proc. Workshop on Postprocessing in Machine Learning and Data Mining",
           url="https://www.cs.umn.edu/sites/cs.umn.edu/files/tech_reports/00-036.pdf",
           bibkey="tr/umn/TanK00")
public class Cosine
extends java.lang.Object
implements InterestingnessMeasure
    Cosine interestingness measure, \(\tfrac{\text{support}(A\cup B)}{\sqrt{\text{support}(A)\text{support}(B)}} =\tfrac{P(A\cap B)}{\sqrt{P(A)P(B)}}\).

    The interestingness measure called IS by Tan and Kumar.

    Reference:

    P. Tan, V. Kumar
    Interestingness measures for association patterns: A perspective
    In Proc. Workshop on Postprocessing in Machine Learning and Data Mining

    Since:
    0.7.5
    Author:
    Frederic Sautter

    • Constructor Summary

      Constructors 
      Constructor Description
      Cosine()
      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

      • Cosine

        public Cosine()
        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