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)