Research Article
Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 87 - Issue 19 |
| Published: February 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 },
year = { 2014 },
volume = { 87 },
number = { 19 },
pages = { 4-8 },
doi = { 10.5120/15457-3820 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Logeswari T
%A Valarmathi N
%A Sangeetha A
%A Masilamani M
%T Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining%T
%J International Journal of Computer Applications
%V 87
%N 19
%P 4-8
%R 10.5120/15457-3820
%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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