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:

Example 1, Example 2, Serialized Form

Method Summary

Modifier and Type	Method and 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 Detail

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.