B.Comp. Dissertation Analytics Systems for Anti-Money Laundering
نویسنده
چکیده
In this paper, we introduce the implementation of a data mining system we developed to search for patterns from large sets of relational databases. In the database that we obtained from a bank, there is large amount of information of the bank " s clients and companies that the clients are related to, as well as relations among the clients and companies (the sensitive and personal information is anonymized for privacy issues). The patterns that our system searches for are user-defined. The definition and limitations of the patterns will be discussed in this paper as well. Our system is developed to support an " Anti-money laundering system " that the banks can use to search for a pattern of transactions and client-client or client-company relations in order to detect potential money laundering activities. Acknowledgement This dissertation would not have been possible without the guidance and help from several individuals. First of all, I owe my deepest gratitude to my supervisor Prof Limsoon Wong for giving me the opportunity to do this project as well as his guidance and valuable suggestions and corrections throughout this project. I would like to thank my advisors Soh Cheng Lock Donny and Tew Kar Leong. They patiently guide us through the project, and continuously advice and support us on this project. I would also like to thank my colleague Ruchi Bajoria. Without the efforts from her side and our good cooperation, I would not be able to complete this project.
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تاریخ انتشار 2011