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分类挖掘技术在金融客户关系管理中的应用
引用本文:康健,梁允荣.分类挖掘技术在金融客户关系管理中的应用[J].北京理工大学学报,2003,23(2):207-211.
作者姓名:康健  梁允荣
作者单位:北京理工大学,信息科学技术学院计算机科学工程系,北京,100081
摘    要:探讨数据挖掘技术在企业实际工作中的应用方式与应用领域,分析金融客户分类的必要性.针对具体的项目论述对金融客户进行分类的方法.改进了传统的决策树分类挖掘算法即ID3算法,提出了进行数据挖掘结果可视化展现的两层软件结构.该方法在银行客户关系管理系统中投入实际运行,获得了较好的用户反映,对企业的决策支持产生了积极的影响.

关 键 词:分类挖掘  决策树  客户关系管理
文章编号:1001-0645(2003)02-0207-05
收稿时间:2002/6/14 0:00:00
修稿时间:2002年6月14日

Application of Classification Data Mining in Financial Customer Relationship Management
KANG Jian and LIANG Yun rong.Application of Classification Data Mining in Financial Customer Relationship Management[J].Journal of Beijing Institute of Technology(Natural Science Edition),2003,23(2):207-211.
Authors:KANG Jian and LIANG Yun rong
Institution:Department of Computer Science Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China
Abstract:The paper studies the method and area of application of data mining in enterprises, analyzes the necessity of classification for finance customers, and introduces the method of customer classification. A decision tree algorithm is developed based on the ID3 algorithm and applied it to a real project. A two layer software structure for the visualization of classification data mining is used in the project. The method has been applied in a banking CRM system. User's response is positive, and it has helped a lot to the enterprise in decision support areas.
Keywords:classification data mining  decision tree  customer relationship management (CRM)
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