Research Article
Optimization of Fragment based Mining through Genetic Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 100 - Issue 13 |
| Published: August 2014 |
| Authors: Rajesh V. Argiddi, S. S. Apte |
10.5120/17589-8299
|
Rajesh V. Argiddi, S. S. Apte . Optimization of Fragment based Mining through Genetic Algorithm. International Journal of Computer Applications. 100, 13 (August 2014), 37-42. DOI=10.5120/17589-8299
@article{ 10.5120/17589-8299,
author = { Rajesh V. Argiddi,S. S. Apte },
title = { Optimization of Fragment based Mining through Genetic Algorithm },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 100 },
number = { 13 },
pages = { 37-42 },
doi = { 10.5120/17589-8299 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Rajesh V. Argiddi
%A S. S. Apte
%T Optimization of Fragment based Mining through Genetic Algorithm%T
%J International Journal of Computer Applications
%V 100
%N 13
%P 37-42
%R 10.5120/17589-8299
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The approach stated in this paper mainly focuses on generating optimized rules in fragment based association mining using genetic algorithm. we call this approach as Genetic based Fragment Rule Mining. we designed a novel method for generation of optimized rule. In which a Fragment mining is used to generate the rules on which we use the optimization mechanism. This deals mainly with reducing the time and space complexity required in processing the data using fragment mining & generate strong rules using genetic algorithm. The results reported in this paper are very promising since the discovered rules are of optimized rules.
References
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