Based on vector space model a Bayes text classification method is proposed.

提出基于向量空间模型的贝叶斯文本分类方法.

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Experiment results show that , for both text classification and non - text classification, DRC - BK has excellent classification performance.

实验表明, 本文提出的DRC-BK 在文本分类领域和 非 文本分类领域都具有优秀的分类性能.

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The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.

结合文本分类规则抽取的特点,给出了近似规则的定义.

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