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

Expert Systems with Applications(2020)

引用 44|浏览46
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摘要
•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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关键词
Imbalanced classification,Ensemble learning,Data partition hybrid sampling,Model dynamic selection
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