| 基于粗糙集与支持向量机的Web文本分类 |
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| 引用本文： | 王娟.基于粗糙集与支持向量机的Web文本分类[J].漳州师院学报,2009(3):37-42. |
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| 作者姓名： | 王娟 |
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| 作者单位： | 漳州师范学院计算机科学与工程系,福建漳州363000 |
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| 摘 要： | Web文本分类是Web数据挖掘的一个重要研究方向，它是在通过经验数据训练得到的分类体系下，根据网页的文本内容自动判别网页类别的过程，本文提出一种综合粗糙集与支持向量机的Web文本分类模型，利用粗糙集的属性约简方法，减少支持向量机训练数据的维数，提高Web文本分类的性能与效率．
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| 关 键 词： | 粗糙集 支持向量机 Web文本分类 |
Web Text Classification Based on Rough Set and Support Vector Machine |
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| WANG Juan.Web Text Classification Based on Rough Set and Support Vector Machine[J].Journal of ZhangZhou Teachers College(Philosophy & Social Sciences),2009(3):37-42. |
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| Authors: | WANG Juan |
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| Institution: | WANG Juan(Department of Computer Science and Engineering, Zhangzhou Normal University, Zhangzhou, Fujian 363000, China) |
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| Abstract: | The Web text classification is an important research direction in Web data mining. It obtains a classified system by training knowledge data, then according to homepage text content automatic distinct homepage category by using this system This article advances a Web text classification model which synthesis rough set and support vector machine. Using the rough set＇s attribute rednction method to reduce the dimension of support vector machine＇s training data, then enhances the Web text classification＇s performance and efficiency. |
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| Keywords: | Rough Set Support Vector Machine Web text classification |
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