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Online payment becomes a convenient way to launder money with the development of e-commerce. In order to solve this problem, we constructed an anti-money laundering system as a service function of union-bank centre. This system can monitor and analyze the transaction data dynamically, and provide auxiliary judgment and the decision support for anti-money laundering. It utilized many technologies synthetically, such as multi-agent neural network, text mining, genetic algorithms, velocity analysis and case-based reasoning technologies to find out the hidden money laundering behavior. The logical frame of this system was proposed and some of the key technologies were introduced. Finally, we discussed the practicability and the development of this system and the union-bank online payment mode. In our opinion, this mode will become the lead online payment mode and its anti-money laundering service system will perform a very useful role.
Yang et al. (Sat,) studied this question.