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Reseach Article

A Study of Different Association Rule Mining Techniques

by R. Z. Inamul Hussain, S. K. Srivatsa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 16
Year of Publication: 2014
Authors: R. Z. Inamul Hussain, S. K. Srivatsa
10.5120/18994-0449

R. Z. Inamul Hussain, S. K. Srivatsa . A Study of Different Association Rule Mining Techniques. International Journal of Computer Applications. 108, 16 ( December 2014), 10-15. DOI=10.5120/18994-0449

@article{ 10.5120/18994-0449,
author = { R. Z. Inamul Hussain, S. K. Srivatsa },
title = { A Study of Different Association Rule Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 16 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number16/18994-0449/ },
doi = { 10.5120/18994-0449 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:08.085479+05:30
%A R. Z. Inamul Hussain
%A S. K. Srivatsa
%T A Study of Different Association Rule Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 16
%P 10-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, we provide some fundamental concepts related to association rule mining and survey the record of existing association rule mining methods. Obviously, a single article cannot be a entire review of the entire algorithms, yet we wish that the references cited will cover up the major theoretical issues, guiding the researcher in motivating research information that have yet to be explored.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association rule Data mining Classification Fuzzy Association Rule Mining Very large Dataset