基于信息熵构造判定树的数据挖掘算法的设计与实现

Research and Implementation of Data Mining Based on Information Entropy Decision_tree

该文讨论了信息量或熵构造判定树的数据挖掘算法,阐明了算法中如何处理高分枝属性、数据清理及剪枝等关键环节,并说明了具体实现方法。

An algorithm for data mining based on information entropy decision_tree is introduced in this paper.The keys such as high -branching,numberic attribute,data cleaning and pruning are analysed.The classification method of big sample is presented in this paper.In the end the research and implementation for algorithm is given.