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- W4321608616 abstract "Online shopping, banking, financial institutions, and government all use e-commerce. Fraudulent conduct is seen in a variety of industries and in our daily lives. The key to lowering losses is to create powerful and efficient fraud detection system. For the identification of fraud, a wide range of techniques and methods are used today. The machine learning methodologies utilized in e-commerce fraud detection, the weaknesses of such methods, and avenues for new research in this area are reported systematically in this review paper." @default.
- W4321608616 created "2023-02-24" @default.
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- W4321608616 date "2023-01-01" @default.
- W4321608616 modified "2023-09-27" @default.
- W4321608616 title "A Review of Financial Fraud Detection in E-Commerce Using Machine Learning" @default.
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- W4321608616 doi "https://doi.org/10.1007/978-981-19-7524-0_21" @default.
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