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

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

CLC Number: 

• TP18