According to the value of weighted mean roughness the priority of different characteristic information can be distinguished, so the proposed method possesses strong tolerant ability.

按加权平均粗糙集的大小区分层内各特征信息的优先级，具有很强的容错能力。

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Computing method of weighted value for feature item based on text representation can determine extraction of text feature, which have influence on accuracy of the text clustering.

文本表示中特征项的权值计算方法决定了文本特征的提取，在很大程度上影响了文本聚类的准确率。

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Then, using hierarchical weighted method, the evaluation results are regarded as the normalized abnormality value to evaluate the real time traffic of host networks.

其次，采用层次加权方法，并将评估结果作为归一化异常度值，对主机网络的实时流量进行评估。

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