- 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 = "
http://citeseer.ist.psu.edu/cache/papers/cs/802/http:zSzzSzwww.wi.leidenuniv.nlzSz~guszzSzeufit96.pdf/eiben96comparing.pdf",
-
URL = "
http://citeseer.ist.psu.edu/eiben96comparing.html",
- 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 construction.",
-
notes = "
",
