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)
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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