摘要
分类算法是数据挖掘中的一个最重要技术,本文分析了决策树分类算法中的ID3算法和C4.5算法,利用它们建立天气评估的决策树模型,研究了该决策树模型在天气评估中的应用,分析了决策树算法应用于数据分类和知识发现的过程和特点,同时文章中也指出了分类算法的不足之处和待解决的问题。
Classification is one of the most important techniques in data mining. The paper illustrates the ID3 and C4,5 algorithm of decision tree .The process of constructing weather assessment model with the algorithm of decision tree is discussed and the model is put into practice for weather assessment .At the same time the paper points out the lack of decision tree and some un-solved problems.
出处
《微计算机信息》
北大核心
2007年第34期245-247,共3页
Control & Automation
关键词
决策树
训练集
熵
算法
评估
decision tree ,training set ,entropy ,algorithm ,assessment
