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

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.