keel.Algorithms.Associative_Classification.ClassifierCBA

Class Apriori

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierCBA.Apriori

public class Apriori
extends java.lang.Object

This class mines the frecuent non-fuzzy itemsets and the non-fuzzy classification association rules.

Since:

JDK1.5

Version:

1.0

Author:

Written by Jesus Alcala (University of Granada) 09/02/2010

Constructor Summary

Constructors

Constructor and Description
Apriori() Default Constructor
Apriori(DataBase dataBase, myDataset train, double minpsup, double minpconf, int prune, int limitRules) Parameters Constructor: Generates an Apriori objects from a list of parameters

Method Summary

Modifier and Type	Method and Description
RuleBase	generateCAR() Generates the Rule Base with the whole Classification Association Rules set by using the Apriori Method
void	setSupportConfidence(double minpsup, double minpconf) Sets the minimum confidence and support thresholds

Methods inherited from class java.lang.Object

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

Constructor Detail

Apriori

public Apriori()

Default Constructor

Apriori

public Apriori(DataBase dataBase,
               myDataset train,
               double minpsup,
               double minpconf,
               int prune,
               int limitRules)

Parameters Constructor: Generates an Apriori objects from a list of parameters

Parameters:

dataBase - Raw training information useful in the class

train - Contains the train data set with the whole information to execute the algorithm

minpsup - The minimum support for the problem

minpconf - The minimum confidence for the problem

prune - Value which decides whether prune or not the rule set

limitRules - Maximum number of rules to generate (0 = no_limit)

Method Detail

setSupportConfidence

public void setSupportConfidence(double minpsup,
                                 double minpconf)

Sets the minimum confidence and support thresholds

Parameters:

minpsup - The minimum support for the problem

minpconf - The minimum confidence for the problem

generateCAR

public RuleBase generateCAR()

Generates the Rule Base with the whole Classification Association Rules set by using the Apriori Method

Returns:

RuleBase The whole CAR rule set