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SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

Information Sciences · 2014 · Vol. 291 · pp. 184–203
José A. SáezJulián LuengoJerzy StefanowskiFrancisco Herrera
Imbalanced Data Classification TechniquesMachine Learning and Data ClassificationText and Document Classification TechnologiesComputer scienceNoise (video)Filter (signal processing)Class (philosophy)Extension (predicate logic)Data miningOversamplingArtificial intelligenceSet (abstract data type)Noisy data

Funding

  • Ministerio de Educación, Cultura y Deporte
  • Narodowe Centrum Nauki
Citations
606
FWCI
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