Comparing Adaptive and Traditional Techniques for Direct Marketing

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "A. E. Eiben and T. J. Euverman and W. Kowalczyk and 
                 E. Peelen and F. Slisser and J. A. M. Wesseling",
  title =        "Comparing Adaptive and Traditional Techniques for
                 Direct Marketing",
  booktitle =    "Proceedings of the 4th European Congress on
                 Intelligent Techniques and Soft Computing",
  year =         "1996",
  editor =       "H.-J. Zimmermann",
  pages =        "434--437",
  publisher_address = "Aachen, Germany",
  publisher =    "Verlag Mainz",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "4 pages",
  abstract =     "he paper contains results of a research project aimed
                 at application and evaluation of modern data analysis
                 techniques in the field of marketing. The investigated
                 techniques were: neural networks, evolutionary
                 algorithms, CHAID and logistic regression analysis. All
                 techniques were applied to the problem of making
                 optimal selections for direct mailing and the resulting
                 models were compared w.r.t. accuracy, interpretability,
                 transparency and time and expertise needed for their
  notes =        "


Genetic Programming entries for Gusz Eiben T J Euverman W Kowalczyk E Peelen F Slisser J A M Wesseling