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An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling

Expert Systems with Applications, (2020): 113660

Cited by: 0|Views8
EI

Abstract

•A novel data partition hybrid sampling is proposed.•A new over-sampling is proposed to strengthen the recognition of the minority class.•A model dynamic selection strategy is presented.

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Author
Bing Ren
Bing Ren
Bohao Sun
Bohao Sun
Junliang Li
Junliang Li
Jianhang Xu
Jianhang Xu
Kangsheng Li
Kangsheng Li
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