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数据挖掘中决策树分类方法研究 被引量:7

Studies on DecisionTree Classifying Method in Dataming
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摘要 分类知识的获取是数据挖掘所要实现的重要任务之一 ,其核心问题是解决分类模型的构造和分类算法实现问题。本文以决策树分类方法中有代表性的方法 C4.5为例介绍数据挖掘中的一种分类模式 :基于决策树方法的分类器的构建方法和算法。 Gaining the classifying knowledge is the one of the most important task s in dataming,in this paper DecisionTree-based classifying method be introduced ,according to the example C4.5,including the procedure of DecisionTree constr ucting and algorithm.
作者 张剑飞
出处 《长春师范学院学报(自然科学版)》 2005年第1期96-98,共3页 Journal of Changchun Teachers College
基金 吉林省自然科学基金资助项目 (2 0 0 3 0 5 17-1)
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参考文献4

  • 1[1]J.R .Qualian c4.5,Programs for Machine Learning[J].San Mateo,CA :Morgan Kaufmann Publishers,1993.
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  • 4何劲松,郑浩然,王煦法.从熵均值决策到样本分布决策[J].软件学报,2003,14(3):479-483. 被引量:12

二级参考文献10

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