The University of Southampton
University of Southampton Institutional Repository

Customer relationship management and data mining: a classification decision tree to predict customer behavior in global markets

Customer relationship management and data mining: a classification decision tree to predict customer behavior in global markets
Customer relationship management and data mining: a classification decision tree to predict customer behavior in global markets
9781466644502
IGI Global
Veglio, V
a25dedee-3686-47be-a4cc-87a6d91cad7d
Niccolò, G
05cc03ed-5514-4c4a-b78e-5c62bc75c186
Vasant, P
Veglio, V
a25dedee-3686-47be-a4cc-87a6d91cad7d
Niccolò, G
05cc03ed-5514-4c4a-b78e-5c62bc75c186
Vasant, P

Veglio, V and Niccolò, G (2013) Customer relationship management and data mining: a classification decision tree to predict customer behavior in global markets. In, Vasant, P (ed.) Handbook of Research on Novel Soft Computing Intelligent Algorithms. Theory and Practical Applications. Harrisburg, US. IGI Global.

Record type: Book Section

This record has no associated files available for download.

More information

Published date: 2013
Organisations: Centre for Relational Leadership & Change

Identifiers

Local EPrints ID: 366378
URI: http://eprints.soton.ac.uk/id/eprint/366378
ISBN: 9781466644502
PURE UUID: b45e18bd-9c05-455a-83f6-a48f207592e1

Catalogue record

Date deposited: 09 Jul 2014 12:52
Last modified: 04 Mar 2024 18:05

Export record

Contributors

Author: V Veglio
Author: G Niccolò
Editor: P Vasant

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.

×