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.