DocumentCode :
3508088
Title :
Study on Anti-Money Laundering Service System of Online Payment Based on Union-Bank Mode
Author :
Yang Qifeng ; Feng Bin ; Song Ping
Author_Institution :
Econ. Coll., Wuhan Univ. of Technol., Wuhan
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
4991
Lastpage :
4994
Abstract :
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.
Keywords :
bank data processing; case-based reasoning; data mining; electronic money; fraud; genetic algorithms; multi-agent systems; neural nets; text analysis; antimoney laundering service system; case-based reasoning; decision support; e-commerce; genetic algorithm; multiagent neural network; online payment; text mining; transaction data; union-bank centre; velocity analysis; Art; Costs; Data analysis; Educational institutions; Government; Law; Legal factors; Marketing and sales; Monitoring; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.1223
Filename :
4340998
Link To Document :
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