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- W2903018528 abstract "The paper is devoted to the issues of data mining methods usage for money laundering detecting. The object of analysis is the information of the Federal Financial Monitoring Service of the Russian Federation on financial transactions in the banking system. As a research tool, the analysis of network graphs of financial transactions data is used. The aim is to identify organizations whose activities do not comply with the requirements of the legislation on money laundering counteraction and terrorism financing. The proposed method allows identifying the main actors of criminal schemes and determining the nature of their interconnections in order to increase the efficiency of the measures aimed at money laundering combating." @default.
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- W2903018528 date "2018-01-01" @default.
- W2903018528 modified "2023-10-03" @default.
- W2903018528 title "On the use of data mining methods for money laundering detection based on financial transactions information" @default.
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- W2903018528 doi "https://doi.org/10.1063/1.5079119" @default.
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