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  • 标题:Feature Selection By Rough – Quick Reduct Algorithm
  • 本地全文:下载
  • 作者:K.ANITHA ; DR. P.VENKATESAN
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2013
  • 卷号:2
  • 期号:8
  • 页码:3989
  • 出版社:S&S Publications
  • 摘要:Feature Selection the process of finding the optimal subset for a given supplied data. In this paper we discussabout basic concepts and applications of Rough Set Theory in Feature Selection. The main advantage of Rough SetFeature Selection is it requires no additional parameters other than the original data. Rough Set is especially useful fordomains where data collected are imprecise or incomplete about the domain objects. In this paper Quick-ReductAlgorithm is used to reduce the number of genes from gene expression data.
  • 关键词:Rough Set ; Attribute Reduction; Feature Selection; Quick-Reduct Algorithm.
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