An Application of Decision Tree to Analyze the Value of Customer
Jiang Chang-jin · Computer Technology and Development · 2007
Decision tree is one of heated fields in data mining in recent years.This method,guided by frequency information in the examples and based on a training set,based on the way of pre-pruning,picks a good attributes for the root of the tree and subtree,which is iterative,and finally builds a decision tree that has been optimized.Being evaluated by Weka system,the decision tree and rules work well.Moreover,give an application to analyze the value of certain customers,and receive some good feedbacks.