Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9025
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dc.contributor.authorCOENEN, FILIP-
dc.contributor.authorSWINNEN, Gilbert-
dc.contributor.authorVANHOOF, Koen-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2008-12-17T16:10:21Z-
dc.date.availableWITHHELD_ONE_YEAR-
dc.date.issued1999-
dc.identifier.citationZytkow, J.M. & Rauch, J. (Ed.) PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY. p. 301-308.-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/9025-
dc.description.abstractDirect 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.-
dc.format.extent64277 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.ispartofseriesLECTURE NOTES IN ARTIFICIAL INTELLIGENCE-
dc.titleThe improvement of response modeling: Combining rule-induction and case-based reasoning-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsZytkow, J.M.-
local.bibliographicCitation.authorsRauch, J.-
local.bibliographicCitation.conferencename3rd European Conference on Principles of Data Mining and Knowledge Discovery in Databases (PKDD 99)-
local.bibliographicCitation.conferenceplacePRAGUE, CZECH REPUBLIC, SEP 15-18, 1999-
dc.identifier.epage308-
dc.identifier.spage301-
dc.identifier.volume1704-
local.format.pages8-
dc.description.notesLimburgs Univ Ctr, Dept Appl Econ, B-3590 Diepenbeek, Belgium.-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC1-
dc.identifier.isi000170570600034-
local.bibliographicCitation.btitlePRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY-
item.validationecoom 2002-
item.fullcitationCOENEN, FILIP; SWINNEN, Gilbert; VANHOOF, Koen & WETS, Geert (1999) The improvement of response modeling: Combining rule-induction and case-based reasoning. In: Zytkow, J.M. & Rauch, J. (Ed.) PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY. p. 301-308..-
item.contributorCOENEN, FILIP-
item.contributorSWINNEN, Gilbert-
item.contributorVANHOOF, Koen-
item.contributorWETS, Geert-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
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