keel.Algorithms.UnsupervisedLearning.AssociationRules.IntervalRuleLearning.GENAR

Class GENARProcess

java.lang.Object

keel.Algorithms.UnsupervisedLearning.AssociationRules.IntervalRuleLearning.GENAR.GENARProcess

public class GENARProcess
extends java.lang.Object

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

Since:

JDK1.6

Version:

1.1

Author:

Alberto Fernández, Modified by Diana Martín (dmartin@ceis.cujae.edu.cu)

Constructor Summary

Constructors

Constructor and Description
GENARProcess(myDataset ds, int nRules, int nTrials, int popsize, double ps, double pm, double pf, double AF) It creates a new process for the algorithm by setting up its parameters

Method Summary

Modifier and Type	Method and Description
java.util.ArrayList<AssociationRule>	getSetRules(double minSupport) Returns the rules that have their support values higher than the minimum given.
void	printReport(double minConfidence, double minSupport) It prints out on screen relevant information regarding the mined association rules which have their confidence and support values higher than the minimum ones given.
java.lang.String	printRules(java.util.ArrayList<AssociationRule> rules) Returns a String with relevant information regarding the mined association rules
static double	roundDouble(double number, int decimalPlace) Rounds the number applying the BigDecimal rounding mode given.
void	run() It runs the algorithm for mining association rules.
void	saveReport(double minSupport, java.io.PrintWriter w) It prints out on the given PrintWriter object relevant information regarding the mined association rules.

Methods inherited from class java.lang.Object

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

Constructor Detail

GENARProcess

public GENARProcess(myDataset ds,
                    int nRules,
                    int nTrials,
                    int popsize,
                    double ps,
                    double pm,
                    double pf,
                    double AF)

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

Parameters:

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

nRules - The maximum number of rules to be generated.

nTrials - The maximum number of evaluations to accomplish before terminating the genetic learning

popsize - The maximum size of population to handle after each generation

ps - The probability of the selection operator

pm - The probability of the mutation operator

pf - The probability of the crossover operator

AF - The parameter which is used while executing the crossover operator

Method Detail

run

public void run()

It runs the algorithm for mining association rules.

printReport

public void printReport(double minConfidence,
                        double minSupport)

It prints out on screen relevant information regarding the mined association rules which have their confidence and support values higher than the minimum ones given.

Parameters:

minConfidence - given minimum confidence value.

minSupport - given minimum support value.

roundDouble

public static double roundDouble(double number,
                                 int decimalPlace)

Rounds the number applying the BigDecimal rounding mode given.

Parameters:

number - number to be rounded.

decimalPlace - given rounding mode.

Returns:

the rounded number.

printRules

public java.lang.String printRules(java.util.ArrayList<AssociationRule> rules)

Returns a String with relevant information regarding the mined association rules

Parameters:

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

Returns:

String with relevant information regarding the mined association rules

saveReport

public void saveReport(double minSupport,
                       java.io.PrintWriter w)

It prints out on the given PrintWriter object relevant information regarding the mined association rules. These rules must have their confidence higher than the minimum given.

Parameters:

minSupport - minimum support value given.

w - given PrintWriter object to write on.

getSetRules

public java.util.ArrayList<AssociationRule> getSetRules(double minSupport)

Returns the rules that have their support values higher than the minimum given.

Parameters:

minSupport - minimum support value given.

Returns:

the rules that have their confidence and support values higher than the minimum ones given.