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Research on rough sets theory based tax data mining

机译:基于粗糙集理论的税收数据挖掘研究

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摘要

In order to conduct effectively data mining to the abnormal data in the mass tax data to get decision rules of tax information system, a decision rules mining algorithm based on positive approximation is proposed, which is based on the traditional rough set theory and the decision-making table of coordination. A practice applied in tax monitoring table in a tax department is validated, which shows that the algorithm is simple and effective.
机译:为了有效地对海量税收数据中的异常数据进行数据挖掘,以获取税收信息系统的决策规则,提出了一种基于正逼近的决策规则挖掘算法,该算法基于传统的粗糙集理论,将决策制作协调表。验证了该算法在税务部门税收监控表中的应用,表明该算法简单有效。

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