MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification
Kyoham Shin, Jongmin Han, Seokho Kang
Topics & Concepts
OversamplingImputation (statistics)PreprocessorComputer scienceMissing dataClassifier (UML)Artificial intelligencePattern recognition (psychology)Data miningMachine learningBandwidth (computing)Computer networkImbalanced Data Classification TechniquesMachine Learning and Data ClassificationElectricity Theft Detection Techniques