Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble

Fares Grina; Zied Elouedi; Éric Lefèvre

doi:10.1007/978-3-031-18843-5_16

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Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble

Fares Grina Zied Elouedi Éric Lefèvre

Year: 2022 Lecture notes in computer science Pages: 235-248 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-18843-5_16

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Keywords:

Undersampling Computer science Artificial intelligence Classifier (UML) Class (philosophy) Machine learning Ensemble learning Binary classification Pattern recognition (psychology) Data mining Support vector machine

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble

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