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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2872

Title: The improvement of response modeling: combining rule-induction and case-based reasoning
Authors: Coenen, F
SWINNEN, Gilbert
WETS, Geert
Issue Date: 2000
Citation: EXPERT SYSTEMS WITH APPLICATIONS, 18(4). p. 307-313
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 CS-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. (C) 2000 Elsevier Science Ltd. All rights reserved.
Notes: Limburgs Univ Ctr, Dept Appl Econ, B-3590 Diepenbeek, Belgium.Coenen, F, Limburgs Univ Ctr, Dept Appl Econ, Univ Campus, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2872
DOI: 10.1016/S0957-4174(00)00012-9
ISI #: 000087140300005
ISSN: 0957-4174
Category: A1
Type: Journal Contribution
Validation: ecoom, 2001
Appears in Collections: Research publications

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