Research Article
Article:Mining Association Rules in Large Database by Implementing Pipelining Technique in Partition Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 2 - Issue 4 |
| Published: June 2010 |
| Authors: Kanhaiya Lal, N.C.Mahanti |
10.5120/657-924
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Kanhaiya Lal, N.C.Mahanti . Article:Mining Association Rules in Large Database by Implementing Pipelining Technique in Partition Algorithm. International Journal of Computer Applications. 2, 4 (June 2010), 33-39. DOI=10.5120/657-924
@article{ 10.5120/657-924,
author = { Kanhaiya Lal,N.C.Mahanti },
title = { Article:Mining Association Rules in Large Database by Implementing Pipelining Technique in Partition Algorithm },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 2 },
number = { 4 },
pages = { 33-39 },
doi = { 10.5120/657-924 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Kanhaiya Lal
%A N.C.Mahanti
%T Article:Mining Association Rules in Large Database by Implementing Pipelining Technique in Partition Algorithm%T
%J International Journal of Computer Applications
%V 2
%N 4
%P 33-39
%R 10.5120/657-924
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Mining for association rules between items in a large database of sales transactions has been described as an important database mining problem. In this paper we present an efficient algorithm for mining association rules that is faster than the previously proposed partition algorithms approximately m times where m is the number of stages in pipeline. The algorithm is also ideally suited for parallelization.
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