该方法首先利用新型文档频进行特征初选以过滤掉一些词条，然后利用所提属性约简算法消除冗余。
The comprehensive method firstly used the new document frequency to select features to filter out some terms, and then employed the attribute reduction algorithm to eliminate redundancy.
针对文本分类中信息增益降维方法的不足，提出了一种基于相对文档频的平衡信息增益(RDFBIG)降维方法。
To overcome the shortage of information gain in text categorization, this paper proposes a method of feature reduction based on the relative document frequency balance information gain (RDFBIG).
针对文本分类中信息增益降维方法的不足，提出了一种基于相对文档频的平衡信息增益(RDFBIG)降维方法。
To overcome the shortage of information gain in text categorization, this paper proposes a method of feature reduction based on the relative document frequency balance information gain (RDFBIG).
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