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On the alterability of rule data mining

机译:论规则的可变性数据挖掘

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摘要

The alterability of rule is studied in this paper. Two ways are put forward: one is applying the technology of data mining to get it, here the theory of rough set and flow graph are mainly used, and the other is estimating it by the experience, so impedance and attractive functions are mentioned, and two types of optimized models are put forward. These ways can enrich the theory of data mining and help people get more acknowledge and use it to facilitate decision making.
机译:本文研究了规则的可变性。提出了两种方法:一种是应用数据挖掘技术来获得它,这里主要使用粗糙集和流程图的理论,另一种是根据经验进行估计,因此提到了阻抗和吸引函数,以及提出了两种优化模型。这些方法可以丰富数据挖掘的理论,并帮助人们获得更多认可,并使用它来促进决策。

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