Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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Data Mining Techniques For Customer Relationship Management

Authors
Feng Guo
Corresponding Author
Feng Guo
Available Online October 2016.
DOI
10.2991/ceie-16.2017.2How to use a DOI?
Keywords
Data mining; Customer Relationship Management (CRM); Customer Loyalty
Abstract

Data mining has made customer relationship management (CRM) a new area where firms can gain a competitive advantage, and it plays a key role in the firms' management decision. In this paper, we first analyze the value and application fields of data mining techniques for CRM, and further explore how data mining being applied to Customer churn analysis.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/ceie-16.2017.2
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.2How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Feng Guo
PY  - 2016/10
DA  - 2016/10
TI  - Data Mining Techniques For Customer Relationship Management
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 9
EP  - 17
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.2
DO  - 10.2991/ceie-16.2017.2
ID  - Guo2016/10
ER  -