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一种基于粗糙集的约简算法
引用本文:张国荣.一种基于粗糙集的约简算法[J].太原师范学院学报(自然科学版),2013(4):91-93.
作者姓名:张国荣
作者单位:忻州师范学院,山西忻州034000
摘    要:在决策表中求取知识时可以进行属性约简,而属性约简中大部分算法都需计算核.文章基于现有的属性约简算法,提出了改进的约简算法.该算法不需要求核,从而节约了时间与空间,使粗糙集在面对大数据时能更好的处理.

关 键 词:数据挖掘  粗糙集  决策表  属性约简

A Reduction Algorithm Based on Rough Set
Zhang Guorong.A Reduction Algorithm Based on Rough Set[J].Journal of Taiyuan Normal University:Natural Science Edition,2013(4):91-93.
Authors:Zhang Guorong
Institution:Zhang Guorong (Xinzhou Teachers University, Xinzhou 034000, China)
Abstract:Knowledge in decision table can be achieved by attribute reduction,and solving core are required in most of the algorithms of attribute reduction. Based on the existing algorithm of attribute reduction,this paper proposes an improved reduction algorithm,which does not need to seek core, thereby saving time and space, so that the rough set can be better processed in face of large data processing.
Keywords:data mining  rough sets  decising table  attribute reduction
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