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Evaluating technologies based rough set theory

机译:基于粗糙集理论的技术评估

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摘要

Most data mining algorithms usually generate combining large rules, finding useful rules from rules set necessary and important. There have been several techniques proposed to assess the rule as useful measure which is based on rough set theory as the RIM, ERIM measure. On rough set theory has been studied, the article proposed AWERIM measure which is improved from ERIM measure and applied this specific measure to an application of the data mining problem about bank loans.
机译:大多数数据挖掘算法通常会生成组合大型规则,从必要且重要的规则集中找到有用的规则。已经提出了几种评估规则作为有用度量的技术,该技术基于粗糙集理论,如RIM,ERM度量。在粗糙集理论研究的基础上,提出了从ERIM度量改进的AWERIM度量,并将该特定度量应用于银行贷款数据挖掘问题的应用。

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