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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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Detalles Bibliográficos
Principais autores: Ajit Desai, Anneke Kosse, Jacob Sharples
Formato: Artigo
Idioma:Inglês
Publicado: KeAi Communications Co., Ltd. 2025-12-01
Series:Journal of Finance and Data Science
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Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2405918825000157
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