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Using machine learning techniques to predict defection of top clients

Using machine learning techniques to predict defection of top clients
Using machine learning techniques to predict defection of top clients
Buckinx, W.
09a7202c-8798-4220-9c08-aeaa9792e7a7
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Van den Poel, D.
956e522c-3a91-4885-ac2d-4eee48b27353
Van Kenhove, P.
c07f1776-13f2-47ab-9717-7a45a3180607
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Buckinx, W.
09a7202c-8798-4220-9c08-aeaa9792e7a7
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Van den Poel, D.
956e522c-3a91-4885-ac2d-4eee48b27353
Van Kenhove, P.
c07f1776-13f2-47ab-9717-7a45a3180607
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999

Buckinx, W., Baesens, B., Van den Poel, D., Van Kenhove, P. and Vanthienen, J. (2002) Using machine learning techniques to predict defection of top clients. Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields. 25 - 27 Sep 2002.

Record type: Conference or Workshop Item (Paper)

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More information

Published date: 2002
Venue - Dates: Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields, 2002-09-25 - 2002-09-27

Identifiers

Local EPrints ID: 36749
URI: http://eprints.soton.ac.uk/id/eprint/36749
PURE UUID: d037c81c-5c67-42e6-bdb5-a2ef36781c5f
ORCID for B. Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 31 May 2006
Last modified: 25 Jul 2019 00:35

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