article Open AccessTop 1% cited
Cost-sensitive decision tree ensembles for effective imbalanced classification
Applied Soft Computing · 2013 · Vol. 14 · pp. 554–562
Bartosz Krawczyk✉(Wrocław University of Science and Technology)Michał Woźniak(Wrocław University of Science and Technology)Gerald Schaefer(Loughborough University)
Imbalanced Data Classification TechniquesElectricity Theft Detection TechniquesFinancial Distress and Bankruptcy PredictionUndersamplingComputer scienceRandom forestMachine learningOversamplingArtificial intelligenceDecision treeRandom subspace methodFeature selectionEnsemble learning
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