Data mining in marketing using Bayesian networks and evolutionary programming
E-commerce and intelligent methods
Give the explosive growth of customer data collected electronically from current electronic business environment, data mining can potentially discover new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to marketing data. The results suggest that this approach to knowledge discovery can generate superior results than the conventional method of logistic regression. Future research in this area should devote more attention to applying this and other data mining methods to solving complex problems facing today's electronic businesses.
Copyright © Springer-Verlag 2002.
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ISBN of the source publication: 9783790825145
Cui, G., & Wong, M. L. (2002). Data mining in marketing using Bayesian networks and evolutionary programming. In J. Segovia, P. S. Szczepaniak, M. Niedzwiedzinski (Eds.), E-commerce and intelligent methods (pp. 198-214). Heidelberg: Physica-Verlag. doi: 10.1007/978-3-7908-1779-9_12