In machine learning (ML) and data mining, especially in scenarios such as medical fraud detection, financial risk control, credit assessment, and anti-money laundering, the problem of extremely unbalanced table data is very common. There are very few samples of minority classes (such as fraud, breach of contract, and a...
Mo-Bin Yuan, Hai-Kun Teng, Zhong-Qi Yao et al.· IETI Transactions on Data An...· 0 citations
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