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A Genetic Algorithm for Discovering Classification Rules in Data Mining

by Basheer M. Al-maqaleh, Hamid Shahbazkia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 18
Year of Publication: 2012
Authors: Basheer M. Al-maqaleh, Hamid Shahbazkia
10.5120/5644-8072

Basheer M. Al-maqaleh, Hamid Shahbazkia . A Genetic Algorithm for Discovering Classification Rules in Data Mining. International Journal of Computer Applications. 41, 18 ( March 2012), 40-44. DOI=10.5120/5644-8072

@article{ 10.5120/5644-8072,
author = { Basheer M. Al-maqaleh, Hamid Shahbazkia },
title = { A Genetic Algorithm for Discovering Classification Rules in Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 18 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number18/5644-8072/ },
doi = { 10.5120/5644-8072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:58.178989+05:30
%A Basheer M. Al-maqaleh
%A Hamid Shahbazkia
%T A Genetic Algorithm for Discovering Classification Rules in Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 18
%P 40-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining has as goal to discover knowledge from huge volume of data. Rule mining is considered as one of the usable mining method in order to obtain valuable knowledge from stored data on database systems. In this paper, a genetic algorithm-based approach for mining classification rules from large database is presented. For emphasizing on accuracy, coverage and comprehensibility of the rules and simplifying the implementation of a genetic algorithm. The design of encoding, genetic operators and fitness function of genetic algorithm for this task are discussed. Experimental results show that genetic algorithm proposed in this paper is suitable for classification rule mining and those rules discovered by the algorithm have higher classification performance to unknown data.

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Index Terms

Computer Science
Information Sciences

Keywords

Classification Rule Genetic Operators Fitness Function Predictive Accuracy

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