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Results: 5
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  • Eiben, E., Euverman, T. J., Kowalczyck, W., & Slisser, F. (1999). Modelling Customer Retention with Statistical Techniques, Rough Data Models and Genetic Programming. In A. Skowron, & S. K. Pal (Eds.), Rough Fuzzy Hybridization. A New Trend in Decision Making (pp. 330-345). Springer.
  • Eiben, A. E., Euverman, T. J., Kowalczyk, W., Peelen, E., Slisser, F., & Wesseling, J. A. M. (1996). Comparative adaptive and traditional techniques for direct marketing. In H. J. Zimmermann (Ed.), Proceedings of the 4th European congress on intelligent techniques and soft computing (pp. 434-437). Verlag Mainz.
  • Eiben, A. E., Euverman, T. J., Kowalczyk, W., Peelen, E., Slisser, F., & Wesseling, J. A. M. (1995). Modelling customer satisfaction in the market for mutual funds investment companies with neural networks and genetic programming. In 48th ESOMAR (European Society for Opinion and Marketing Research) congress ESOMAR.
  • Eiben, A. E., Euverman, T. J., Kowalczyk, W., Peelen, E., Slisser, F., & Wesseling, J. A. M. (1995). Genetic algorithms and neural networks vs. statistical techniques: A case study in marketing. 5th International workshop on parallel applications.
  • Eiben, A. E., Euverman, T. J., Kowalczyk, W., Peelen, E., Slisser, F., & Wesseling, J. A. M. (1995). Respons modelling en doelgroepselectie in een business-to-business markt. In Congress Henry Stewart conference studies: Toepassing van neurale netwerken in marketing Congress Henry Stewart.
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