An Adaptive Oversampling Method for Imbalanced Datasets Based on Mean-Shift and SMOTE

Ahmed S. Ghorab; Wesam M. Ashour; Shadi Abudalfa

doi:10.1007/978-3-031-08954-1_2

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An Adaptive Oversampling Method for Imbalanced Datasets Based on Mean-Shift and SMOTE

Ahmed S. Ghorab Wesam M. Ashour Shadi Abudalfa

Year: 2022 Lecture notes in networks and systems Pages: 13-23 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-08954-1_2

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Keywords:

Oversampling Cluster analysis Computer science Machine learning Support vector machine Artificial intelligence Class (philosophy) Data mining Noise (video) Process (computing) Pattern recognition (psychology) Algorithm

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Vehicle License Plate Recognition

Physical Sciences → Engineering → Media Technology

An Adaptive Oversampling Method for Imbalanced Datasets Based on Mean-Shift and SMOTE

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