CHSMOTE: Convex hull-based synthetic minority oversampling technique for alleviating the class imbalance problem

Information Sciences(2023)

Cited 6|Views37
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Abstract
•We propose a novel oversampling algorithm to alleviate the class imbalance problem.•Our proposal properly identifies a sample synthesis area based on the convex hull.•Our proposal can mitigate the three weaknesses of SMOTE simultaneously.•Results demonstrate the superiority of the proposed algorithm.
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Key words
Class imbalance,SMOTE,Convex hull,Classification,Oversampling
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