Title :
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
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;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.245