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Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.

Alberto FernándezMaría José del JesusFrancisco Herrera
Published in: IWANN (1) (2009)
Keyphrases
  • classification systems
  • highly imbalanced
  • data sets
  • class distribution
  • imbalanced data
  • cost sensitive
  • training data
  • pairwise
  • least squares
  • input data
  • benchmark datasets