keel.Algorithms.UnsupervisedLearning.AssociationRules.FuzzyRuleLearning.FuzzyApriori

Class FuzzyAprioriProcess

java.lang.Object

keel.Algorithms.UnsupervisedLearning.AssociationRules.FuzzyRuleLearning.FuzzyApriori.FuzzyAprioriProcess

public class FuzzyAprioriProcess
extends java.lang.Object

It provides the implementation of the algorithm to be run in a process

Since:

JDK1.6

Version:

1.0

Author:

Written by Alvaro López

Constructor Summary

Constructors

Constructor and Description
FuzzyAprioriProcess(myDataset dataset, boolean useMaxForOneFrequentItemsets, double minSupport, double minConfidence) It creates a new process for the algorithm by setting up its parameters

Method Summary

Modifier and Type	Method and Description
int	getNumberOfOneFrequentItemsets() It returns the number of 1-Frequent Itemsets
java.util.ArrayList<AssociationRule>	getRulesSet() It returns a rules set once the algorithm has been carried out
void	printReport(java.util.ArrayList<AssociationRule> rules) It prints out on screen relevant information regarding the mined association rules
void	run() It runs the algorithm for mining association rules

Methods inherited from class java.lang.Object

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

Constructor Detail

FuzzyAprioriProcess

public FuzzyAprioriProcess(myDataset dataset,
                           boolean useMaxForOneFrequentItemsets,
                           double minSupport,
                           double minConfidence)

It creates a new process for the algorithm by setting up its parameters

Parameters:

dataset - The instance of the dataset for dealing with its records

useMaxForOneFrequentItemsets - It indicates whether the max operator must be used while discovering 1-Frequent Itemsets

minSupport - The user-specified minimum support for the mined association rules

minConfidence - The user-specified minimum confidence for the mined association rules

Method Detail

run

public void run()

It runs the algorithm for mining association rules

getRulesSet

public java.util.ArrayList<AssociationRule> getRulesSet()

It returns a rules set once the algorithm has been carried out

Returns:

An array of association rules having both minimum confidence and support

printReport

public void printReport(java.util.ArrayList<AssociationRule> rules)

It prints out on screen relevant information regarding the mined association rules

Parameters:

rules - The array of association rules from which gathering relevant information

getNumberOfOneFrequentItemsets

public int getNumberOfOneFrequentItemsets()

It returns the number of 1-Frequent Itemsets

Returns:

A value representing the number of 1-Frequent Itemsets