Database Analysis as an Anti-Money Laundering Strategy for Financial Institutions

With the development of economic globalization, economic exchanges between people have become increasingly close and frequent, it not only a symbol of economic prosperity, but also provides more possibility to all kinds of economic crimes [2]. The Money Laundering, among them, causes the most serious harm to national security, financial system and development of global economic with involving an amount in large, covering a wide range and complicated process. So we focus on anti-money laundering which is topic of highly concerned. The project aims to determine an effective approach to detect and curb the money laundering. In work of anti-money laundering, effective monitoring of suspicious transactions and, intelligence gathering and investigate all those transaction carefully. We will do the data mining for all transaction.