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Rough-Set-Based Attribute Dependencies: Foundations and Bio-Medical Data Applications
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作者 Dominik Slezak 《南昌工程学院学报》 CAS 2006年第2期35-35,共1页
Theory of rough sets, proposed by Zdzislaw Pawlak in 1982, is a model of approximate reasoning. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads t... Theory of rough sets, proposed by Zdzislaw Pawlak in 1982, is a model of approximate reasoning. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to significant results in many areas including, for example, finance, industry, multimedia, medicine, and most recently bioinformatics. 展开更多
关键词 data foundations and Bio-Medical data Applications Rough-Set-Based Attribute Dependencies well
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