| 基于决策支持度的决策树生成算法 |
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| 引用本文： | 关晓蔷,梁吉业,钱宇华,刘煜伟.基于决策支持度的决策树生成算法[J].计算机工程与应用,2008,44(27):148-150. |
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| 作者姓名： | 关晓蔷 梁吉业 钱宇华 刘煜伟 |
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| 作者单位： | 1. 山西大学,计算机与信息技术学院,太原,030006
2. 山西省军区司令部,太原,030013 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研项目，育部科学技术研究重点项目，山西省青年科研项目 |
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| 摘 要： | 从条件属性对决策支持程度不同的角度出发,引入了决策支持度的概念,提出了一种以其为启发式信息的决策树生成算法。实验分析表明,相对于传统的决策树生成算法,此算法改善了决策树的结构,有效提高了决策分类的精度。
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| 关 键 词： | 决策树 信息系统 决策支持度 |
| 收稿时间： | 2007-11-13 |
| 修稿时间： | 2008-2-18
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Decision trees generation algorithm based on decision support degree |
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| GUAN Xiao-qiang,UANG Ji-ye,QIAN Yu-hua,LIU Yu-wei.Decision trees generation algorithm based on decision support degree[J].Computer Engineering and Applications,2008,44(27):148-150. |
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| Authors: | GUAN Xiao-qiang UANG Ji-ye QIAN Yu-hua LIU Yu-wei |
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| Affiliation: | 1.School of Computer and Information Technology，Shanxi University，Taiyuan 030006，China 2.The Shanxi Provincial Military District Headquarters，Taiyuan 030013，China |
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| Abstract: | Based on the viewpoint that conditions attributes have different decision support ability,the concept of decision support degree is introduced,and a novel algorithm for building decision tree is proposed,in which the decision support degree is regarded as heuristic information.The experimental analyzes on several public date sets show that unlike the decision tree built by traditional algorithms,the decision tree built by this algorithm has much better tree structure and classification precision. |
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| Keywords: | decision tree information system decision support degree |
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