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文章基本信息

  • 标题:On Rough Set Modelling for Data Mining
  • 本地全文:下载
  • 作者:V S Jeyalakshmi ; G Ariprasad
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2012
  • 卷号:4
  • 期号:10
  • 页码:1695-1701
  • 出版社:Engg Journals Publications
  • 摘要:Many problems in real world can be explained in natural languages. Rough Set Theory is defined with many operations, rules extended from classical set theory and is widely used to model systems related to data mining. The paper is a description of Rough Set Theory and an illustration of modeling a real world problem based on Rough set approximations.
  • 关键词:Rough Set Theory (RST); Knowledge Discovery in Data mining (KDD).
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