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Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining

by Logeswari T, Valarmathi N, Sangeetha A, Masilamani M
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 19
Year of Publication: 2014
Authors: Logeswari T, Valarmathi N, Sangeetha A, Masilamani M
10.5120/15457-3820

Logeswari T, Valarmathi N, Sangeetha A, Masilamani M . Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining. International Journal of Computer Applications. 87, 19 ( February 2014), 4-8. DOI=10.5120/15457-3820

@article{ 10.5120/15457-3820,
author = { Logeswari T, Valarmathi N, Sangeetha A, Masilamani M },
title = { Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 19 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 4-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number19/15457-3820/ },
doi = { 10.5120/15457-3820 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:19.664119+05:30
%A Logeswari T
%A Valarmathi N
%A Sangeetha A
%A Masilamani M
%T Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 19
%P 4-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Enhanced Apriori Algorithm is proposed which takes less scanning time. It is achieved by eliminating the redundant generation of sub-items during pruning the candidate item sets. Both Traditional and Enhanced Apriori algorithms are compared and analysed in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Candidate generation frequent itemsets transaction_size support count threshold.

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