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- W2361567335 abstract "The paper discussed the main problems of current anti-money laundering data reporting regulations, including enormous data, high false rate, lack of self-adaptive and easy evasion. A new generation of data monitoring and analytical framework that is based on machinery study is proposed to avoid such abuses effectively through the recognition of customer's behaviors pattern. This paper has made out its system frame, working course, technical feasibility, etc. The framework may also be applied into the other bank's businesses such as preventing from finance swindle and financial risks, customer relationship management." @default.
- W2361567335 created "2016-06-24" @default.
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- W2361567335 date "2005-01-01" @default.
- W2361567335 modified "2023-09-28" @default.
- W2361567335 title "An Anti-Money Laundering Data Monitoring and Analytical SystemBased on Customer Behavior Pattern Recognition" @default.
- W2361567335 hasPublicationYear "2005" @default.
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