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基于单向S-粗集的数据分层挖掘

One Direction S-rough Set-based Data Hierarchical Mining
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摘要 S-粗集(Singular rough sets)是对Pawlak Z粗集的改进,单向S-粗集(One direction singular rough sets)是S-粗集的基本形式之一.利用单向S-粗集,本文给出数据属性,数据分层挖掘概念,数据分层挖掘序定理,合成数据分层挖掘定理,及数据分层挖掘准则,利用这些结果,给出应用.说明单向S-粗集是动态数据分层挖掘研究的一个新工具. S-rough set (Singular rough sets) improved Pawlak Z rough set;and one direction S-rough set (one direction singular rough sets) is one of the basic forms of S-rough set. By employing one direction S-rough set, the concepts of data attribute and data hierarchical mining were proposed;then the order theorem of data hierarchical mining, the hierarchical mining theorem of compound data,and the hierarchical mining principle of data were presented; based on the results above,the application was given. One direction S-rough set is a new instrument for the research of dynamic hierarchical mining of data.
作者 邱育锋
出处 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第2期184-188,共5页 Journal of Xiamen University:Natural Science
基金 国家自然科学基金(10826009) 福建省资助省属高校项目(2008F5042)资助
关键词 单向S-粗集 数据分层挖掘 分层挖掘度 分层挖掘定理 one direction S-rough set data hierarchical mining hierarchical mining degree hierarchical mining theorem
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参考文献8

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