数据挖掘中决策树算法的探讨

Research on Decision Tree in Data Mining

决策树算法是DM的一个活跃的研究领域。首先给出了DM中决策树算法的基本思想 ,然后讨论了决策树算法中的难点问题 ,提出了利用熵与加权和的思想来选择取值的算法。

Decision Tree is one of heated fields in Data Mining in recent years. This paper first gives the main thoughts of algorithm of Decision Tree in Data Mining , then discusses the difficult problem of selecting value on division in Decision Tree, and put forward an algorithm using the thoughts of entropy and weighted entropy to solve the problem with the examples.