| 基于粗集的支持向量机文本分类方法研究 |
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| 引用本文： | 崔彩霞,王素格.基于粗集的支持向量机文本分类方法研究[J].科技广场,2006(8):4-6. |
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| 作者姓名： | 崔彩霞 王素格 |
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| 作者单位： | 1. 太原师范学院计算机系,太原,030012
2. 山西大学数学科学学院,太原,030006 |
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| 基金项目： | 山西省青年科技基金项目(20031027) |
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| 摘 要： | 本文提出了一种基于粗糙集的支持向量机文本分类方法。该方法利用粗糙集的约简理论降低了支持向量的维数,同时保证了分类性能。实验表明该方法能获得较好的分类效果。
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| 关 键 词： | 粗糙集 支持向量机 文本分类 |
| 文章编号： | 1671-4792-（2006）8-0016-03 |
Study on Text Categorization Based on Rough Set and Support Vector Machine |
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| Cui Caixia,Wang Suge.Study on Text Categorization Based on Rough Set and Support Vector Machine[J].Science Mosaic,2006(8):4-6. |
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| Authors: | Cui Caixia Wang Suge |
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| Institution: | 1.Department of Computer,Taiyuan Teachers College,Taiyuan 030012; 2.Scientific institute of Mathematics,University of Shanxi,Taiyuan 030006 |
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| Abstract: | In this paper we present a text categorization algorithm of support vector machine based on roughset.Using the reduction theory of rough set ,by the algorithm,we can reduce the dimension of support vector andobtain the good classification performance. The experiment shows that it can achieve better result. |
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| Keywords: | Rough Set Support Vector Machine Text Categorization |
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