Package com.imsl.datamining

Class AssociationRule

java.lang.Object
com.imsl.datamining.AssociationRule
All Implemented Interfaces:
Serializable, Cloneable
public class AssociationRule extends Object implements Serializable, Cloneable
Contains association rules discovered by the Apriori algorithm.

An association rule has the form, \(X \implies Y\), where X and Y are two disjoint sets of items (or products) that are represented in a set of occurrences (transactions). The AssociationRule object contains members:

X: \(\{X_1,\ldots,X_{n_X}\}\)
Y: \(\{Y_1,\ldots,Y_{n_Y}\}\)
Support of \( Z=X \cap Y \)
Support of X
Support of Y
Confidence measure for \(X \implies Y\)
Lift measure for \(X \implies Y\)
See Also:

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    getConfidence()
    The confidence measure of the association rule.
    double
    getLift()
    The lift measure of the association rule.
    int[]
    getSupport()
    Support for the Z, X, and Y components of the association rule.
    int[]
    getX()
    The X components of the association rule.
    int[]
    getY()
    The Y components of the association rule.
    void
    print()
    Print the member data in this object.
    static void
    print(AssociationRule[] ar)
    Print out the association rules in ar.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Method Details

    • getX

      public int[] getX()
      The X components of the association rule.
      Returns:
      an int array containing the X components of the association rule.

    • getY

      public int[] getY()
      The Y components of the association rule.
      Returns:
      an int array containing the Y components of the association rule.

    • getSupport

      public int[] getSupport()
      Support for the Z, X, and Y components of the association rule.
      Returns:
      an int array containing the Z, X, and Y components of the association rule.

    • getConfidence

      public double getConfidence()
      The confidence measure of the association rule.
      Returns:
      a double specifying the confidence measure of the association rule.

    • getLift

      public double getLift()
      The lift measure of the association rule.
      Returns:
      a double specifying the lift measure of the association rule.

    • print

      public void print()
      Print the member data in this object.

      The following is an example of this format:

      X = {0} \(\implies\) Y = {2}
        supp(X)=27, supp(Y)=33, supp(X and Y)=22
        conf= 0.81, lift=1.23

    • print

      public static void print(AssociationRule[] ar)
      Print out the association rules in ar.
      Parameters:
      ar - an AssociationRule array containing the association rules generated from a set of itemsets.