We propose a data mining model based on clustering and rough set.

提出了一种基于聚类和粗糙集的数据挖掘模型。

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Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.

粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。

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The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.

把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。

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