{"title":"Meta-information in rough set theory","authors":"Jian Su, Ji Gao","doi":"10.1109/ICMLC.2002.1174471","DOIUrl":null,"url":null,"abstract":"In original rough set theory, an information system is represented as a single data table describing a set of objects by a set of attributes. In this paper, the information system is generalized by considering a family of subsystems. An information system with more than one subsystem is called a distributed information system. A new concept called meta-information is presented to describe an information system or its subsystems. Algorithms for meta-information integration and derived meta-information generation are proposed. Many existing methods can be reimplemented on the basis of meta-information to avoid the costly work of data integration. Operations on meta-information are very simple and cost-effective. Some applications of meta-information are also discussed.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"32 1","pages":"729-734 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1174471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In original rough set theory, an information system is represented as a single data table describing a set of objects by a set of attributes. In this paper, the information system is generalized by considering a family of subsystems. An information system with more than one subsystem is called a distributed information system. A new concept called meta-information is presented to describe an information system or its subsystems. Algorithms for meta-information integration and derived meta-information generation are proposed. Many existing methods can be reimplemented on the basis of meta-information to avoid the costly work of data integration. Operations on meta-information are very simple and cost-effective. Some applications of meta-information are also discussed.