Application of decision tree based on C4.5 in analysis of coal logistics customer

Authors:
Fu Duan;Zhenxing Zhao;Xiangdong Zeng
Affiliations:
College of Computer and Software, Taiyuan University of Technology, Taiyuan, China;College of Computer and Software, Taiyuan University of Technology, Taiyuan, China;College of Computer and Software, Taiyuan University of Technology, Taiyuan, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Customer resource is the lifeline of enterprise development, and the classification management and service for customer are very important in customer relationship management (CRM). Decision tree is one of the most popular methods for classification. In this paper, we build a decision tree based on C4.5 algorithm for coal logistics customer analysis, adopt Pessimistic Error Pruning (PEP) to simplify it and apply the rules extracted to the CRM of the coal logistics road company which shows that the method can be able to accurately classify the types of customers.