The University of Southampton
University of Southampton Institutional Repository

The use of knowledge discovery techniques for behavioural ccoring

The use of knowledge discovery techniques for behavioural ccoring
The use of knowledge discovery techniques for behavioural ccoring
Meeus, N.
a208039c-b944-4bec-bcb3-3212dd3d550b
Huysmans, J.
4926c4a3-4dd3-477f-a352-de2a432f2d61
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Vandebroek, M.
8d4a3745-e068-4b0b-a524-4d8092bd7a77
Meeus, N.
a208039c-b944-4bec-bcb3-3212dd3d550b
Huysmans, J.
4926c4a3-4dd3-477f-a352-de2a432f2d61
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Vandebroek, M.
8d4a3745-e068-4b0b-a524-4d8092bd7a77

Meeus, N., Huysmans, J., Baesens, B., Vanthienen, J. and Vandebroek, M. (2005) The use of knowledge discovery techniques for behavioural ccoring. Sixth International Conference on Data Mining and their Business Applications, Skiathos, Greece.

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

Published date: 2005
Venue - Dates: Sixth International Conference on Data Mining and their Business Applications, Skiathos, Greece, 2005-01-01

Identifiers

Local EPrints ID: 37168
URI: http://eprints.soton.ac.uk/id/eprint/37168
PURE UUID: 1be0e583-5014-46a8-9b95-72afbc4d7512
ORCID for B. Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 24 May 2006
Last modified: 24 Jul 2020 01:36

Export record

Contributors

Author: N. Meeus
Author: J. Huysmans
Author: B. Baesens ORCID iD
Author: J. Vanthienen
Author: M. Vandebroek

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×