The Bayesian evidence framework for database marketing modelling using both RFM and Non-RFM predictors
The Bayesian evidence framework for database marketing modelling using both RFM and Non-RFM predictors
9800775412
International Institute of Informatics and Systemics
Viaene, S.
68e01ebc-8a4d-4460-86bf-18711fcee8d6
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Van den Poel, D.
956e522c-3a91-4885-ac2d-4eee48b27353
Vanthienen, J.
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Dedene, G.
8afb894b-10b1-48d9-8751-4fab7a71b8ca
2001
Viaene, S.
68e01ebc-8a4d-4460-86bf-18711fcee8d6
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Van den Poel, D.
956e522c-3a91-4885-ac2d-4eee48b27353
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Dedene, G.
8afb894b-10b1-48d9-8751-4fab7a71b8ca
Viaene, S., Baesens, B., Van den Poel, D., Vanthienen, J. and Dedene, G.
(2001)
The Bayesian evidence framework for database marketing modelling using both RFM and Non-RFM predictors.
Callaos, Nagib, Nunes de Silva, Ivan and Molero, Jorge
(eds.)
In Proceedings of the Fifth World Multi-Conference on Systemics, Cybernetics and Informatics (SCI'2001).
International Institute of Informatics and Systemics..
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Conference or Workshop Item
(Paper)
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Published date: 2001
Venue - Dates:
Fifth World Multi-Conference on Systemics, Cybernetics and Informatics (SCI'2001), Orlando, Florida, 2001-07-21 - 2001-07-24
Identifiers
Local EPrints ID: 37171
URI: http://eprints.soton.ac.uk/id/eprint/37171
ISBN: 9800775412
PURE UUID: ca696299-e915-4444-8aa5-03213e36741d
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Date deposited: 30 May 2006
Last modified: 12 Dec 2021 03:27
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Contributors
Author:
S. Viaene
Author:
D. Van den Poel
Author:
J. Vanthienen
Author:
G. Dedene
Editor:
Nagib Callaos
Editor:
Ivan Nunes de Silva
Editor:
Jorge Molero
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