A Money Laundering Risk Evaluation Method Based on Decision Tree

• Published in: 2007 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 283 - 286
• Main Authors: Su-Nan Wang, Jian-Gang Yang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2007
• Subjects: Agriculture; Anti-money laundering; Artificial intelligence; Commercial bank; Computerized monitoring; Customer profiles; Decision tree; Decision trees; Drugs; Internet; Machine learning; Manufacturing; Space technology

Money laundering (ML) involves moving illicit funds, which may be linked to drug trafficking or organized crime, through a series of transactions or accounts to disguise origin or ownership. China is facing severe challenge on money laundering with an estimated 200 billion RMB laundered annually. De...