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A combination of clustering-based under-sampling with ensemble methods for solving imbalanced class problem in intelligent systems

Mohammad Saleh Ebrahimi Shahabadi, Hamed Tabrizchi, Marjan Kuchaki Rafsanjani, Brij B. Gupta, Francesco Palmieri

2021Technological Forecasting and Social Change42 citationsDOI

Topics & Concepts

UndersamplingOversamplingCluster analysisMahalanobis distanceComputer scienceBenchmark (surveying)Data miningArtificial intelligenceClass (philosophy)Pattern recognition (psychology)Machine learningBandwidth (computing)GeographyComputer networkGeodesyImbalanced Data Classification TechniquesElectricity Theft Detection TechniquesArtificial Intelligence in Healthcare
A combination of clustering-based under-sampling with ensemble methods for solving imbalanced class problem in intelligent systems | Litcius