计算机工程 ›› 2009, Vol. 35 ›› Issue (19): 251-253.doi: 10.3969/j.issn.1000-3428.2009.19.084

• 开发研究与设计技术 • 上一篇    下一篇

基于数据挖掘的客户细分框架模型

方安儒,叶 强,鲁 奇,李一军   

  1. (哈尔滨工业大学管理学院,哈尔滨 150001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-10-05 发布日期:2009-10-05

Customer Segmentation Framework Model Based on Data Mining

FANG An-ru, YE Qiang, LU Qi, LI Yi-jun   

  1. (School of Management, Harbin Institute of Technology, Harbin 150001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-05 Published:2009-10-05

摘要: 数据挖掘技术在客户关系管理领域的应用较广泛,能提高客户细分能力。针对目前客户细分研究缺乏统一研究框架的问题,分析现有的客户关系管理系统构架及其与客户细分的集成关系,对客户细分问题进行构架性研究,提出一种基于数据挖掘的客户细分框架模型,包括空间逻辑模型和数据-功能-方法模型。

关键词: 客户细分, 框架模型, 数据挖掘

Abstract: Data mining techniques are broadly used in customer relationship management, which enhance the capacity of customer segmentation to a new level. Since there is no unified framework model for customer segmentation by now, this paper analyzes the recent relation of customer relationship management structure and customer segmentation, and proposes a customer segmentation framework model based on data mining, which includes space model and DFM(Data, Function, Method) model.

Key words: customer segmentation, framework model, data mining

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