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《Journal of The China Society For Scientific and Technical Information》 2001-01
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A Method of Rough Set Oriented Data Mining in Information System

Cheng Yan and Huang Tiyun (Management School,Harbin Institute of Technology,Harbin 150001)  
Data Mining is an important research topic in information system,which can discover knowledge automatically from large amounts of data,and the knowledge is helpful in decision making.Some traditional method of data mining is only suitable for precise set,not for rough set.Since many set of data in real life is rough,the method of rough set oriented data mining plays an important role in information system.In this paper,a rough set model of information system is proposed,a method of attribute reducing is developed,and an algorithm of mining rules from rough set,Apriori_2,is presented on basis of rough set model.
【Fund】: 国家自然科学基金项目资助 !批准号 :70 0 710 0 8
【CateGory Index】: G203
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