Finding a needle in a haystack: A machine learning framework for anomaly detection in payment systems
We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are central to a country’s financial infrastructure and integral to financial stability. This framework can be used by system operators and overseers to detect anoma...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
KeAi Communications Co., Ltd.
2025-12-01
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| Edice: | Journal of Finance and Data Science |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2405918825000157 |
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