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决策树分类算法ID3的应用研究
引用本文:林艳,于书举.决策树分类算法ID3的应用研究[J].企业科技与发展,2009(4):176-178.
作者姓名:林艳  于书举
作者单位:[1]北京工业大学计算机学院,北京100022 [2]广西工学院信息与计算科学系,广西柳州545006
摘    要:数据挖掘中的ID3算法是决策树中的重要算法,它适合于从海量信息中获取有益信息。通过一个实例对ID3算法进行了详细的分析论述,并将ID3算法应用于高校教学评价中。实验证明,ID3算法在高校教学改革中有重要的辅助指导作用.

关 键 词:数据挖掘  决策树  ID3算法

The Applied Research of ID3 Algorithm in Decision Tree
Institution:LIN Yan, YU Shu-ju (1. Computer Institute of Beijing University of Technology, Beijing 100022; 2. Department of Information and Computing Science of Guangxi University of Technology, Liuzhou Guangxi 545006)
Abstract:The algorithm of ID3 is an important algorithm in Decision Tree of Data Mining, It is fit for obtaining benefical information from the mass data. This paper porposes the principle of ID3 using example. And applicating this algorithm to Teaching Evaluation investigation of High Learning.The results of experiment show that the algorithm of ID3 have important assistant supevise effect in the teaching reformation of High Learning.
Keywords:data mining  decision tree  ID3 algorithm
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