Sample and feature selecting based ensemble learning for imbalanced problems
Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li
Topics & Concepts
Random forestWeightingComputer scienceEnsemble learningClassifier (UML)Artificial intelligenceMachine learningFeature selectionMajority ruleCascading classifiersSample (material)Feature (linguistics)Data miningRandom subspace methodPattern recognition (psychology)LinguisticsRadiologyChemistryChromatographyMedicinePhilosophyImbalanced Data Classification TechniquesElectricity Theft Detection TechniquesArtificial Intelligence in Healthcare