{"title":"An efficient implementation to calculate relative core and reducts","authors":"R. Bautista, M. Millán, J.F. Diaz","doi":"10.1109/NAFIPS.1999.781802","DOIUrl":null,"url":null,"abstract":"Knowledge reduction is an important issue when dealing with huge amounts of data. Rough set theory offers two fundamental concepts to deal with this particular problem: reduct and core. These concepts are generalized to families of equivalence relations. We propose a method of implementation to calculate relative core and reducts based on the positive region of a classification with respect to another classification. We use families of equivalence relations instead of classifications.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.1999.781802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Knowledge reduction is an important issue when dealing with huge amounts of data. Rough set theory offers two fundamental concepts to deal with this particular problem: reduct and core. These concepts are generalized to families of equivalence relations. We propose a method of implementation to calculate relative core and reducts based on the positive region of a classification with respect to another classification. We use families of equivalence relations instead of classifications.