Research Article
Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 93 - Issue 8 |
| Published: May 2014 |
| Authors: Ashma Chawla, Kanwalvir Singh Dhindsa |
10.5120/16236-5759
|
Ashma Chawla, Kanwalvir Singh Dhindsa . Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach. International Journal of Computer Applications. 93, 8 (May 2014), 24-28. DOI=10.5120/16236-5759
@article{ 10.5120/16236-5759,
author = { Ashma Chawla,Kanwalvir Singh Dhindsa },
title = { Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 93 },
number = { 8 },
pages = { 24-28 },
doi = { 10.5120/16236-5759 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Ashma Chawla
%A Kanwalvir Singh Dhindsa
%T Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach%T
%J International Journal of Computer Applications
%V 93
%N 8
%P 24-28
%R 10.5120/16236-5759
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Association rule mining is always considered to be the most important task for mining data in almost every field. There have been many algorithms devised for mining frequent patterns till today. Algorithm evolutions started with AIS which was soon upgraded and named as Apriori. Apriori is most widely used algorithm in terms of data mining. In this paper an improved approach to Apriori termed as reverse Apriori is proposed and the results are compared with the classical approach.
References
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