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A Survey of Genetic Algorithm for Association Rule Mining

by Gagandeep Kaur, Shruti Aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 20
Year of Publication: 2013
Authors: Gagandeep Kaur, Shruti Aggarwal
10.5120/11511-7229

Gagandeep Kaur, Shruti Aggarwal . A Survey of Genetic Algorithm for Association Rule Mining. International Journal of Computer Applications. 67, 20 ( April 2013), 25-28. DOI=10.5120/11511-7229

@article{ 10.5120/11511-7229,
author = { Gagandeep Kaur, Shruti Aggarwal },
title = { A Survey of Genetic Algorithm for Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 20 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number20/11511-7229/ },
doi = { 10.5120/11511-7229 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:25:57.370565+05:30
%A Gagandeep Kaur
%A Shruti Aggarwal
%T A Survey of Genetic Algorithm for Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 20
%P 25-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, Data Mining is an important aspect for generating association rules among the large number of itemsets. Association Rule Mining is the method for discovering interesting relations between variables in large databases. It is considered as one of the important tasks of data mining intended towards decision making. Genetic algorithm (GA) based on evolution principles has found its strong base in mining Association Rules. Genetic algorithm is a search heuristic which is used to generate useful solutions to optimization and search problems. Genetic algorithm has proved to generate more accurate results when compared to other formal methods available. The fitness function used in Genetic Algorithm evaluates the quality of each rule. Many researchers have proposed genetic algorithm for mining interesting rules from dataset. This paper presents the survey of Genetic Algorithm for Association Rule Mining.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Mining Genetic Algorithm

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