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.
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References
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery: an Overview. In: Advances in Knowledge Discovery & Data Mining, vol. 34, pp. 1–34. MIT Press, Cambridge (1996)
Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1, 81–106 (1986)
Freitas, A.A.: Data Mining and Knowledge Discovery with Evolutionary Algorithms. Springer, Berlin (2002)
Eberhart, R.C., Kennedy, J.: A New Optimizer using Particle Swarm Theory. In: Proc. 6th Symp.Micro Machine and Human Science, Nagoya,Japan, pp. 39–43 (1995)
Parpinelli, R.S., Lopes, H.S., Freitas, A.A.: Data Mining with an Ant Colony Optimization Algorithm. IEEE Transactions on Evolutionary Computing 6, 321–332 (2002)
Kennedy, J.: The particle Swarm:Social Adaptation of Knowledge. In: Proc. IEEE Int. Conf. Evol. Comput. Indianapolis, IN, pp. 303–308. IEEE Computer Society Press, Los Alamitos (1997)
Hettich, S., Bay, S.D.: The UCI KDD Archive. URL: http://kdd.ics.uci.edu (1999)
Liu, J., Zhong, W.-C., Liu, F., Jiao, L.-C.: Classification Based on Organizational Coevolutionary Algorithm. Chinese Journal of Computers 26, 446–453 (2003)
Weiss, S.M., KulIkowski, C.A.: Computer Systems that Learn. Morgan Kaufmann Press, San Mateo,CA (1991)
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Wang, Z., Sun, X., Zhang, D. (2007). A PSO-Based Classification Rule Mining Algorithm. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_42
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DOI: https://doi.org/10.1007/978-3-540-74205-0_42
Publisher Name: Springer, Berlin, Heidelberg
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