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Reseach Article

Association Rule Mining using Self Adaptive Particle Swarm Optimization

Published on November 2012 by Indira K, Kanmani.s
Computational Intelligence & Information Security
Foundation of Computer Science USA
CIIS - Number 1
November 2012
Authors: Indira K, Kanmani.s

Indira K, Kanmani.s . Association Rule Mining using Self Adaptive Particle Swarm Optimization. Computational Intelligence & Information Security. CIIS, 1 (November 2012), 27-31.

author = { Indira K, Kanmani.s },
title = { Association Rule Mining using Self Adaptive Particle Swarm Optimization },
journal = { Computational Intelligence & Information Security },
issue_date = { November 2012 },
volume = { CIIS },
number = { 1 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 27-31 },
numpages = 5,
url = { /specialissues/ciis/number1/9415-1006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Special Issue Article
%1 Computational Intelligence & Information Security
%A Indira K
%A Kanmani.s
%T Association Rule Mining using Self Adaptive Particle Swarm Optimization
%J Computational Intelligence & Information Security
%@ 0975-8887
%N 1
%P 27-31
%D 2012
%I International Journal of Computer Applications

Particle swarm optimization (PSO) algorithm is a simple and powerful population based stochastic search algorithm for solving optimization problems in the continuous search domain. However, the general PSO is more likely to get stuck at a local optimum and thereby leading to premature convergence when solving practical problems. One solution to avoid premature convergence is adjusting the control parameters, inertia weight and acceleration coefficients. This paper proposes two adaptive mechanisms for adjusting the inertia weights namely self adaptive PSO1 (SAPSO1) and self adaptive PSO2 (SAPSO2) for mining association rules. The accuracy of the mined rules by these two algorithms when compared to weighted PSO shows that the self adaptive PSO produces better results when compared to weighted PSO.

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Index Terms

Computer Science
Information Sciences


Particle Swarm Optimization Association Rules Inertia Weight Sapso1 Sapso2