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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9025

Title: The improvement of response modeling: Combining rule-induction and case-based reasoning
Authors: Coenen, F.
SWINNEN, Gilbert
VANHOOF, Koen
WETS, Geert
Issue Date: 1999
Publisher: SPRINGER-VERLAG BERLIN
Citation: Zytkow, J.M. & Rauch, J. (Ed.) PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY. p. 301-308.
Series/Report: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Abstract: Direct mail is a typical example for response modeling to be used. In order to decide which people will receive the mailing, the potential customers are divided into two groups or classes (buyers and non-buyers) and a response model is created. Since the improvement of response modeling is the purpose of this paper, we suggest a combined approach of rule-induction and case-based reasoning. The initial classification of buyers and non-buyers is done by means of the C5-algorithm. To improve the ranking of the classified cases, we introduce in this research rule-predicted typicality. The combination of these two approaches is tested on synergy by elaborating a direct mail example.
Notes: Limburgs Univ Ctr, Dept Appl Econ, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/9025
ISI #: 000170570600034
ISSN: 0302-9743
Type: Proceedings Paper
Validation: ecoom, 2002
Appears in Collections: Research publications

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