计算机与现代化 ›› 2010, Vol. 1 ›› Issue (01): 162-165.doi: 10.3969/j.issn.1006-2475.2010.01.046

• 数据库 • 上一篇    下一篇

数据仓库和数据挖掘在信用社客户关系管理中的应用

王海著,闫宏印   

  1. 太原理工大学计算机与软件学院,山西 太原 030024
  • 收稿日期:2009-02-05 修回日期:1900-01-01 出版日期:2010-01-15 发布日期:2010-01-15

Application of Data Warehouse and Data Mining in CRM of Country Credit Organization

WANG hai-zhu,YAN Hong-yin   

  1. College of Computer and Software, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2009-02-05 Revised:1900-01-01 Online:2010-01-15 Published:2010-01-15

摘要: 中国的信用合作联社作为中国银行业的唯一的在广大农村地区生存的银行机构,成为我国银行业的弱势群体,其更应该加快利用先进的科学的管理方法去生存和发展。本文主要介绍信用社数据仓库如何建立及决策树在信用社客户关系管理中的应用,用双重样本对决策树进行训练、修剪,并用修剪后决策树对信用社客户预测分类,准确率达到百分之七十。

关键词: 信用社CRM, 数据仓库, 数据挖掘, 决策树

Abstract: The country credit organization of China as the only one group that survive and develop in the nation vast rural area is a disadvantaged group in all commercial banks, it should do use advanced technology and scientific management for survival and development. This article introduces that how to build the data warehouse and decision tree’s application in the country credit organization to reader, double samples are used for training and pruning the decision tree. When the tree are used for forecasting and classification the customers, it gets the accurate rate of 70 percent.

Key words: country credit organization CRM, data warehouse, data mining, decision tree

中图分类号: