keel.Algorithms.Genetic_Rule_Learning.CORE

Class Core

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.CORE.Core

public class Core
extends java.lang.Object

This class contains the main body of the CORE algorithm, presented by:

Tan, K.C., Yu, Q., Ang, J.H. A coevolutionary algorithm for rules discovery in data mining. International Journal of Systems Science 37 (12), pp. 835-864

Constructor Summary

Constructors

Constructor and Description
Core() Default constructor, sets all structures to null.
Core(java.lang.String paramfile) Creates a new instance of Core

Method Summary

Modifier and Type	Method and Description
void	create_copopulation() Creates a new copopulation, for restarting purposes.
void	crossOver() Applies the crossover between 2 chromosomes
void	elitism() Ensures the elitism, keeping the best rule.
void	evaluate_copopulation() Evaluates the current copopulation
void	evaluate() Evaluates the current population (set of rules) with the training data set
void	evolve_copopulation() Evaluates the copopulation, mutating and evaluating it for a established number of iterations.
void	initialize() Initialize all populations (both Michigan and Pitts approaches) randomly
void	mutate_copopulation() Applies the mutation in the current copopulation.
void	mutate() Applies mutation in the new poblation
protected void	printRules() Print the final set of rules to disk
void	regeneration() Randomize the rules with fitness below the average, to obtain diversity.
void	run() Process the training and test files provided in the parameters file to the constructor.
void	token_competition() Performs the token competition.
void	tournament_selection() Applies a tournament selection, with tournament size of 2
static void	writeOutput(java.lang.String fileName, java.lang.String[] instancesIN, java.lang.String[] instancesOUT, Attribute[] inputs, Attribute output, int nInputs, java.lang.String relation) Writes the output in KEEL format

Methods inherited from class java.lang.Object

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

Constructor Detail

Core

public Core()

Default constructor, sets all structures to null.

Core

public Core(java.lang.String paramfile)

Creates a new instance of Core

Parameters:

paramfile - The path to the configuration file with all the parameters in KEEL format

Method Detail

writeOutput

public static void writeOutput(java.lang.String fileName,
                               java.lang.String[] instancesIN,
                               java.lang.String[] instancesOUT,
                               Attribute[] inputs,
                               Attribute output,
                               int nInputs,
                               java.lang.String relation)

Writes the output in KEEL format

Parameters:

fileName - output file

instancesIN - output from instances of the input data set

instancesOUT - class of classified instances

inputs - the input attributes

output - the output attribute

nInputs - number of input attributes

relation - data set name

tournament_selection

public void tournament_selection()

Applies a tournament selection, with tournament size of 2

mutate

public void mutate()

Applies mutation in the new poblation

crossOver

public void crossOver()

Applies the crossover between 2 chromosomes

initialize

public void initialize()

Initialize all populations (both Michigan and Pitts approaches) randomly

evaluate

public void evaluate()

Evaluates the current population (set of rules) with the training data set

elitism

public void elitism()

Ensures the elitism, keeping the best rule. Besides, it sorts the rule set by their fitness.

token_competition

public void token_competition()

Performs the token competition. The rules "fights" for covering the instances, following the fitness order.

regeneration

public void regeneration()

Randomize the rules with fitness below the average, to obtain diversity.

create_copopulation

public void create_copopulation()

Creates a new copopulation, for restarting purposes.

evaluate_copopulation

public void evaluate_copopulation()

Evaluates the current copopulation

mutate_copopulation

public void mutate_copopulation()

Applies the mutation in the current copopulation.

evolve_copopulation

public void evolve_copopulation()

Evaluates the copopulation, mutating and evaluating it for a established number of iterations.

run

public void run()

Process the training and test files provided in the parameters file to the constructor.

printRules

protected void printRules()

Print the final set of rules to disk