| 基于VPRS的ID3算法改进 |
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| 引用本文： | 张瑞玲,都彦格,张克勇.基于VPRS的ID3算法改进[J].陕西理工学院学报(自然科学版),2007,23(3):38-41,54. |
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| 作者姓名： | 张瑞玲 都彦格 张克勇 |
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| 作者单位： | 洛阳师范学院,计算机科学系,河南,洛阳,471022 |
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| 基金项目： | 河南省教育厅自然科学基金 |
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| 摘 要： | 在变精度粗糙集模型的基础上,通过定义近似分类质量来对条件属性进行选择,在ID3算法的基础上生成决策树,实现了对ID3算法的改进,使分类速度加快,并且有效地解决了含噪数据的分类问题。
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| 关 键 词： | 变精度粗糙集 ID3算法 近似分类质量 |
| 文章编号： | 1673-2944（2007）03-0038-04 |
| 修稿时间： | 2007-01-20 |
Improvement on ID3 algorithms based on variable precision rough set |
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| ZHANG Rui-ling,DU Yan-ge,ZHANG Ke-yong.Improvement on ID3 algorithms based on variable precision rough set[J].Journal of Shananxi University of Technology:Natural Science Edition,2007,23(3):38-41,54. |
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| Authors: | ZHANG Rui-ling DU Yan-ge ZHANG Ke-yong |
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| Institution: | Department of Computer Science, Luoyang Normal College, Luoyang 471022, China |
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| Abstract: | On the basis of variable precision rough set model,choices of condition attributions are chosen through defining approximate quality of classification,then decision tree combined with ID3 algorithms is produced,the improvement on ID3 algorithms is made,the progress in classification speed is achieved,and the classification problem about noisy data is effectively solved. |
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| Keywords: | variable precision rough set ID3 algorithms approximate quality of classification |
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