CISUC

A Particle Swarm Data Miner

Authors

Tiago Sousa
Ana Paula Neves F. da Silva
Arlindo Silva

Abstract

This paper describes the implementation of Data Mining
tasks using Particle Swarm Optimisers. The object of our research has
been to apply such algorithms to classi¯cation rule discovery. Results,
concerning accuracy and speed performance, were empirically compared
with another evolutionary algorithm, namely a Genetic Algorithm and
with J48 - a Java implementation of C4.5. The data sets used for ex-
perimental testing have already been widely used and proven reliable
for testing other Data Mining algorithms. The obtained results seem to
indicate that Particle Swarm Optimisers are competitive with other evo-
lutionary techniques, and could come to be successfully applied to more
demanding problem domains.

Keywords

PSO, Data Mining

Subject

Particle Swarm Optimization

Conference

EPIA\'03, December 2003


Cited by

Year 2009 : 2 citations

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Year 2008 : 2 citations

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Year 2007 : 3 citations

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Year 2006 : 3 citations

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Year 2005 : 2 citations

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Year 2004 : 1 citations

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