Customer intelligence system based on improving LTV model and data mining

被引：0
|
作者：
Chen, Yu-Zhe [1 ]
Zhao, Ming-Hua [1 ]
Zhao, Shu-Liang [1 ]
Wang, Yan-Jun [1 ]
机构：
[1] Hebei Normal Univ, Coll Math & Informat Sci, Shijiazhuang 050016, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
Customer Relationship Management; Customer Intelligence; Self-Organizing Map; Fuzzy Decision Tree;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Customer Relationship Management is one of the leading business strategies for today's companies, the key to successful implementation of CRM is Customer Intelligence. This paper designs and implements a customer intelligence system based on improving LTV model and data mining. Two data mining techniques are used including Self-Organizing Map and Fuzzy Decision Tree. The proposed system provides such functions as customer identification, customer loyalty analysis, customer satisfaction analysis, profitable customer segmentation, and customer differentiation. It can be used to make customer strategies.
引用
收藏
页码：1352 / +
页数：2
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