articleInformation SciencesMay 29, 2008Closed access

Neighborhood rough set based heterogeneous feature subset selection

QHQinghua HuDYDaren YuJLJinfu LiuCWCongxin Wu

Harbin Institute of Technology

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Abstract

No abstract available for this paper.

Citation impact

1,048
total citations
FWCI
29.80
Percentile
100%
References
50
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Categorical variable
  • Rough set
  • Feature selection
  • Dependency (UML)
  • Feature (linguistics)
  • Preprocessor
  • Artificial intelligence
  • Computer science
UN Sustainable Development Goals
  • Reduced inequalities
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