Data Mining Techniques For Customer Relationship Management

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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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  -