In the era of information explosion, with the accumulation of data information, it becomes more and more important, how to find useful information from a large number of data. Starting from the characteristics analysis of the criminal information data, this paper digitizes these properties of the large⁃scale population. Based on this, the Rough Set is used to build the Attribute Reduction model, which removes redundant features and gets key attributes. Eventually, the research can effectively improve the efficiency of case processing.%在信息爆炸的时代，随着数据信息的不断累积，如何从大量的数据信息中找到有用的信息变得越来越关键。从犯罪数据的特点出发，将大规模人群的行为属性数字化。在此基础上，基于粗糙集来建立属性约简模型。通过删除冗余特征属性得到关键属性，从而有效地帮助警察处理案件。
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