Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (10): 245-248.DOI: 10.3778/j.issn.1002-8331.2010.10.076

• 工程与应用 • Previous Articles    

Application of decision tree in analysis of coal logistics customer

DUAN Fu,ZENG Xiang-dong,NIU Bao-ning   

  1. College of Computer and Science,Taiyuan University of Technology,Taiyuan 030024,China
  • Received:2008-08-25 Revised:2008-11-10 Online:2010-04-01 Published:2010-04-01
  • Contact: DUAN Fu

决策树方法在煤炭物流客户分析中的应用

段 富,曾祥东,牛保宁   

  1. 太原理工大学 计算机与软件学院,太原 030024
  • 通讯作者: 段 富

Abstract: There are lots of historical customer data in logistics enterprises.To utilize these data effectively,customer classification using data mining is very important in CRM.Decision tree is one of the most popular tools to classification and data mining.This thesis mainly discusses how to build a decision tree of coal logistics customer analysis by using C4.5 algorithm and the application of rules to customer classification in logistics enterprise.The experiment result shows that the method has great value in application.

Key words: decision tree, C4.5 algorithm, prune, customer analysis

摘要: 目前物流企业中积累了大量的客户历史数据,为了有效利用这些数据,使用数据挖掘方法对客户进行分类管理和服务是CRM中非常重要的一方面。而决策树是进行分类分析与数据挖掘的常用方法。研究了运用C4.5算法对煤炭物流客户信息构造决策树,并把提取到的规则应用到公路煤炭物流公司的客户关系管理中,结果证明具有较好的应用价值。

关键词: 决策树, C4.5算法, 剪枝, 客户分析

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