| 基于决策树的协同进化分类算法研究 |
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| 引用本文： | 姜毅,乐庆玲. 基于决策树的协同进化分类算法研究[J]. 数字社区&智能家居, 2007, 0(13) |
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| 作者姓名： | 姜毅 乐庆玲 |
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| 作者单位： | 武汉科技大学计算机学院,湖北,武汉,430081 武汉大学信息管理学院,湖北,武汉,430072 |
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| 摘 要： | 针对当前分类算法还存在的诸如伸缩性不强、可调性差、缺乏全局优化能力等问题,该文提出了一种有效的用于数据挖掘分类任务的方法--基于决策树的协同进化分类算法.实验结果表明该方法获得了更高的预测准确率,产生了更小的规则集.
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| 关 键 词： | 数据挖掘 分类 协同进化 决策树 |
Coevolutionary Based on Decision Tree Classification Algorithm |
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| JIANG Yi,YUE Qing-ling. Coevolutionary Based on Decision Tree Classification Algorithm[J]. Digital Community & Smart Home, 2007, 0(13) |
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| Authors: | JIANG Yi YUE Qing-ling |
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| Affiliation: | JIANG Yi1,YUE Qing-ling2 |
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| Abstract: | There are some problems in current classification algorithms,such as limited scalability,weak adjustability,low ability to find the most excellent decision tree.A novel classification method for data mining,CoEvolutionary algotithm based on decision tree for Classification,is proposed in this paper.Results show the proposed algorithm can achieve higher predicting accuracy and a smaller number of rules. |
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| Keywords: | Data mining Classification Coevolution Decision tree |
| 本文献已被 CNKI 维普 等数据库收录！ |
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