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Reseach Article

A Survey on Association Rule Mining using Apriori Algorithm

by K.saravana Kumar, R.manicka Chezian
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 5
Year of Publication: 2012
Authors: K.saravana Kumar, R.manicka Chezian
10.5120/6780-9079

K.saravana Kumar, R.manicka Chezian . A Survey on Association Rule Mining using Apriori Algorithm. International Journal of Computer Applications. 45, 5 ( May 2012), 47-50. DOI=10.5120/6780-9079

@article{ 10.5120/6780-9079,
author = { K.saravana Kumar, R.manicka Chezian },
title = { A Survey on Association Rule Mining using Apriori Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number5/6780-9079/ },
doi = { 10.5120/6780-9079 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:51.044221+05:30
%A K.saravana Kumar
%A R.manicka Chezian
%T A Survey on Association Rule Mining using Apriori Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 5
%P 47-50
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of item in the transaction database or other data repositories. Association rule mining is used in various areas for example Banking, department stores etc. The paper surveys the most recent existing association rule mining techniques using apriori algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Mining Ant Colony Optimization E-mail Detection Database Reverse Engineering.