Application of Decision Tree Based on C4.5 in Analysis of Coal Logistics Customer

Author

Duan, Fu ; Zhao, Zhenxing ; Zeng, Xiangdong

Author_Institution

Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China

Volume

2

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

380

Lastpage

383

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.

Keywords

coal; customer services; decision trees; logistics; C4.5 algorithm; classification management; coal logistics customer analysis; coal logistics road company; customer relationship management; customer resource; customer service; decision tree; enterprise development; pessimistic error pruning; Algorithm design and analysis; Application software; Classification tree analysis; Contracts; Customer relationship management; Data mining; Databases; Decision trees; Logistics; Testing; C4.5 algorithm; customer analysis; decision tree; prune;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3859-4

Type

conf

DOI

10.1109/IITA.2009.245

Filename

5369591