An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult
Mario Dudjak, Goran Martinović
Topics & Concepts
UndersamplingOversamplingComputer scienceMachine learningClass (philosophy)Artificial intelligenceNoise (video)Empirical researchRank (graph theory)Data miningMathematicsStatisticsCombinatoricsBandwidth (computing)Computer networkImage (mathematics)Imbalanced Data Classification TechniquesElectricity Theft Detection TechniquesFinancial Distress and Bankruptcy Prediction