| 决策树算法的研究及其改进 |
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| 引用本文： | 张学琴. 决策树算法的研究及其改进[J]. 数字社区&智能家居, 2009, 0(30) |
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| 作者姓名： | 张学琴 |
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| 作者单位： | 北方民族大学; |
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| 摘 要： | 该文主要探讨了基于数据仓库的数据挖掘技术中分类算法的决策树算法的基础理论和实施方法,分析并改进了分类方法中决策树算法;并在决策树预剪枝算法中,利用父结点与当前结点信息嫡的比值来作为是否停止决策树扩张的评判标准。
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| 关 键 词： | 数据挖掘 决策树 分类 修剪 信息增益 |
Researched and Improved Decision Tree Algorithm |
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| ZHANG Xue-qin. Researched and Improved Decision Tree Algorithm[J]. Digital Community & Smart Home, 2009, 0(30) |
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| Authors: | ZHANG Xue-qin |
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| Affiliation: | ZHANG Xue-qin (North University for the Nationalities,Ningxia 750021,China) |
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| Abstract: | This paper is introduced fundamental theory and acting method in technologies data mining based on data warehouse ,and researched decision tree algorithm in classify algrothm ,analysed and improved decision tree algorithm in classify algorithm; In Pruning algorithm of decision tree ,It is maked use of information of father's node and currenting node so that by way of whether or not suspending judging standard outstretched decision tree. |
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| Keywords: | data mining decision tree classing pruning information gain |
| 本文献已被 CNKI 等数据库收录！ |
