The Research of Customer Segment in CRM Based on Data Mining

机译：基于数据挖掘的CRM客户群研究

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In CRM, customer segment is the base of other function. In this paper, we developed a novel customer segment methodology that combined group decision-making and data mining techniques. This paper applies the analytic hierarchy process to determine the relative weights of all and applies clustering .techniques to do customer segment according to the weighted RFM value. The experimental results demonstrated that the method is effective for customer segment.

机译：在CRM中，客户群是其他功能的基础。在本文中，我们开发了一种新颖的客户群方法，该方法结合了团队决策和数据挖掘技术。本文运用层次分析法来确定所有商品的相对权重，并根据加权RFM值应用聚类技术进行客户细分。实验结果表明，该方法对客户群有效。

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来源
《Fifth Wuhan International Conference on E-Business: Integration and Innovation through Measurement and Management vol.1》|2006年|848-852|共5页
会议地点 Wuhan(CN)
作者
Fudong Wang; Weixin Yao; Meimei Chen;
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作者单位

Glorious Sun School of Management, Donghua University, Shanghai 200051, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类商业企业组织与管理;计算技术、计算机技术;
关键词
customer segment; data mining; customer lifetime value; analytic hierarchy process; clustering;

机译：客户群；数据挖掘;客户生命周期价值；层次分析法聚类;

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The Research of Customer Segment in CRM Based on Data Mining

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