Data mining applications in customer churn management KhakAbi, Sahand K, Gholamian, Mohammad RG and Namvar, Morteza 2010, Data mining applications in customer churn management, in ISMS 2010 : Proceedings of the 2010 International Conference on Intelligent Systems, Modelling and Simulation, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 220-225, doi: 10.1109/ISMS.2010.49. Attached Files Name Description MIMEType Size Downloads Title Data mining applications in customer churn management Author(s) KhakAbi, Sahand K Gholamian, Mohammad RG Namvar, Morteza orcid.org/0000-0002-1988-2192 Conference name IEEE Computer Society. Conference (2010 : Liverpool, Eng.) Conference location Liverpool, Eng. Conference dates 2010/01/27 - 2010/01/29 Title of proceedings ISMS 2010 : Proceedings of the 2010 International Conference on Intelligent Systems, Modelling and Simulation Editor(s) Al-Dabass, David Pantelous, Anthanasios Tawfik, Hissam Abraham, Ajith Publication date 2010 Series IEEE Computer Society Conference Start page 220 End page 225 Total pages 6 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) churn management data mining techniques ISBN 978-1-4244-5985-8 Language eng DOI 10.1109/ISMS.2010.49 HERDC Research category EN.1 Other conference paper Copyright notice ©2010, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30102560 Document type: Conference Paper Collection: Department of Information Systems and Business Analytics Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sat, 09 Sep 2017, 18:53:27 EST Sun, 10 Sep 2017, 05:00:11 EST Mon, 11 Sep 2017, 08:13:25 EST Sat, 23 Sep 2017, 06:22:25 EST Thu, 12 Jul 2018, 09:14:40 EST Thu, 12 Jul 2018, 09:20:53 EST Thu, 12 Jul 2018, 09:23:40 EST Thu, 12 Jul 2018, 09:24:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 9 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Sat, 09 Sep 2017, 18:53:27 EST

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