会议专题

The Applied Research Based on Decision Tree of Data Mining In Third-Party Logistics

The Key question of Decision Tree algorithm is selecting the best division standard. This article introduces the building methods and steps of ID3 algorithm of Decision Tree. Based on the training set, by computing and comparing continuously, we selected the appropriate property as the tree root, as sub tree root, and repeated the process continually, and build the optimized decision tree in the end. Furthermore, we applied the decision tree on the analysis of the customer group of the third-party logistics company, and got some practical values

The Third-Party Decision Tree Information Gain Prepruning Rule

Wang Qian Wu Yaohua Xiao Jiwei Pan Guang-feng

The Logistics Institute Shandong University Jinan, Shandong Province, China Department of computer and information engineering Shandong University of Finance Jinan, Shandong Pr

国际会议

2007 IEEE International Conference on Automation and Lofistics

山东济南

英文

2007-08-18(万方平台首次上网日期,不代表论文的发表时间)