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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versión impresa ISSN 1646-9895

Resumen

ALEXANDRE, Claudio  y  BALSA, João. A Multi-Agent System in the Combat Against Money Laundering. RISTI [online]. 2017, n.25, pp.1-17. ISSN 1646-9895.  http://dx.doi.org/10.17013/risti.25.1-17.

Money laundering is a crime that makes it possible to finance other crimes, for this reason, it is important for criminal organizations and their combat is prioritized by nations around the world. The anti-money laundering process has not evolved as expected because it has prioritized only the signaling of suspicious transactions. The constant increasing in the volume of transactions has overloaded the indispensable human work of final evaluation of the suspicions. This article presents a multiagent system that aims to go beyond the capture of suspicious transactions, seeking to assist the human expert in the analysis of suspicions. The agents created use data mining techniques to create transactional behavioral profiles; apply rules generated in learning process in conjunction with specific rules based on legal aspects and profiles created to capture suspicious transactions; and analyze these suspicious transactions indicating to the human expert those that require more detailed analysis

Palabras clave : multi-agent systems; intelligent agents; data mining; anti-money laundering.

        · resumen en Portugués     · texto en Portugués     · Portugués ( pdf )

 

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