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EPIA'03 - 11th Portuguese Conference on Artificial Intelligence

ALEA -- Workshop on Artificial Life and Evolutionary Algorithms

 Session: December 7, 11:0-12:30, Room A
Title: A Particle Swarm Data Miner
Tiago Sousa, Ana Neves, 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 classification rule discovery. Results, concerning accuracy and speed performance, were empirically compared with another evolutionary algo-rithm, namely a Genetic Algorithm and with J48 - a Java implementation of C4.5. The data sets used for experimental testing have already been widely used and proven reliable for testing other Data Mining algorithms. The obtained re-sults seem to indicate that Particle Swarm Optimisers are competitive with other evolutionary techniques, and could come to be successfully applied to more demanding problem domains.
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