A PSO-Based Classification Rule Mining Algorithm

Authors:
Ziqiang Wang;Xia Sun;Dexian Zhang
Affiliations:
School of Information Science and Engineering, Henan University of Technology, Zheng Zhou 450052, China;School of Information Science and Engineering, Henan University of Technology, Zheng Zhou 450052, China;School of Information Science and Engineering, Henan University of Technology, Zheng Zhou 450052, China
Venue:
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Year:
2009

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Abstract

Classification rule mining is one of the important problems in the emerging field of data mining which is aimed at finding a small set of rules from the training data set with predetermined targets. To efficiently mine the classification rule from databases, a novel classification rule mining algorithm based on particle swarm optimization (PSO) was proposed. The experimental results show that the proposed algorithm achieved higher predictive accuracy and much smaller rule list than other classification algorithm.