A synthetic data set to benchmark anti-money laundering methods

Bank transactions are highly confidential. As a result, there are no real public data sets that can be used to investigate and compare anti-money laundering (AML) methods in banks. This severely limits research on important AML problems such as efficiency, effectiveness, class imbalance, concept dri...

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Detalles Bibliográficos
Autores principales: Jensen, Rasmus Ingemann Tuffveson, Ferwerda, Joras, Jørgensen, Kristian Sand, Jensen, Erik Rathje, Borg, Martin, Krogh, Morten Persson, Jensen, Jonas Brunholm, Iosifidis, Alexandros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539331/
https://www.ncbi.nlm.nih.gov/pubmed/37770445
http://dx.doi.org/10.1038/s41597-023-02569-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539331/
https://www.ncbi.nlm.nih.gov/pubmed/37770445
http://dx.doi.org/10.1038/s41597-023-02569-2

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