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Applications of Genetic Programming in Data Mining

Authors: Saleh Mesbah Elkaffas, Ahmed A. Toony


This paper details the application of a genetic programming framework for induction of useful classification rules from a database of income statements, balance sheets, and cash flow statements for North American public companies. Potentially interesting classification rules are discovered. Anomalies in the discovery process merit further investigation of the application of genetic programming to the dataset for the problem domain.

Keywords: Genetic programming, data mining classification rule.

Digital Object Identifier (DOI):

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[1] Little, J. B. and Rhodes, L., "Understanding Wall Street", Liberty Publishing Company, Cockeysville, MD, 1983.
[2] Fayyad, U.M., Piattetsky-Shapiro, G., and Smyth, P., "From data mining to knowledge discovery: an overview. Advances in Knowledge Discovery and Data Mining", 1-34. AAAI/MIT Press, 1996.
[3] COMPUSTAT,, Standard & Poors Institutional Market Services, Englewood, CO, USA, 2001.
[4] Fidelis, M.V., Lopes, H.S., and Freitas, A.A., "Discovering comprehensible classification rules with a genetic algorithm", Proc. Congress on Evolutionary Computation - 2000 (CEC-2000), 805-810. La Jolla, CA, USA, 2000.
[5] Freitas, A.A., "A genetic programming framework for two data mining tasks: classification and generalized rule induction", Genetic Programming 1997: Proc. 2nd Annual Conf. (Stanford University, July 1997), 96-101. Morgan Kaufmann, 1997.
[6] Goldberg, David E., "Genetic Algorithms in Search, Optimization, and Machine Learning", Addison Wesley Longman, Inc, 1989.
[7] Koza, John R., "Genetic Programming: On the Programming of Computers by Means of Natural Selection", Cambridge, MA: The MIT Press, 1992.