This article advances a Web text classification model which synthesis rough set and support vector machine. Using the rough set’s attribute reduction method to reduce the dimension of support vector machine’s training data, then enhances the Web text classification’s performance and efficiency.

基于粗糙集与支持向量机的Web文本分类.pdf

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