Genetic Modelling of Customer Retention
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{eiben:1998:gmcr,
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author = "A. E. Eiben and A. E. Koudijs and F. Slisser",
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title = "Genetic Modelling of Customer Retention",
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booktitle = "Proceedings of the First European Workshop on Genetic
Programming",
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year = "1998",
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editor = "Wolfgang Banzhaf and Riccardo Poli and
Marc Schoenauer and Terence C. Fogarty",
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volume = "1391",
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series = "LNCS",
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pages = "178--186",
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address = "Paris",
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publisher_address = "Berlin",
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month = "14-15 " # apr,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-64360-5",
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DOI = "doi:10.1007/BFb0055937",
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abstract = "This paper contains results of a research project
aiming at the application and evaluation of modern data
analysis techniques in the field of marketing. The
investigated techniques are: genetic programm ing,
rough data analysis, CHAID and logistic regression
analysis. All four techniques are applied independently
to the problem of customer retention modelling, using a
database of a financial company. Models created by
these techniques are used to gain insights into factors
influencing customer behaviour and to make predictions
on ending the relationship with the company in
question. Comparing the predictive power of the
obtained models shows that the genetic technology
offers the highest performance.",
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notes = "EuroGP'98",
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affiliation = "Leiden University Dept. of Comp. Sci. The Netherlands
The Netherlands",
- }
Genetic Programming entries for
Gusz Eiben
A E Koudijs
F Slisser
Citations