A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection

Expert Systems with Applications(2021)

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摘要
•A Hybrid Method for the problem of data imbalance with overlap in fraud detection.•Unsupervised anomaly detection model applied for obtaining overlapping subset.•A novel Dynamic Weighted Entropy for guiding the sub-model selection.•The proposed method outperforms others on real datasets.
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关键词
Class imbalance,Data overlap,Dynamic weighted entropy,Fraud detection
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