Anti-money laundering (AML) is of great significance for the integrity of financial system in modern society because of the huge amounts of money involved in and close relationships with other types of crimes. The typical AML system includes FinCEN for America which began in 1993 and AUSTRAC ...
This paper presents a core decision tree algorithm to identify money laundering activities. The clustering algorithm is the combination of BIRCH and K-means. In this method, decision tree of data mining technology is applied to anti-money-laundering filed after research of money laundering features....
Anti-Money LaunderingScientometricsHot FieldBased on the information visualization technology and the Web of Science database, which includes English research articles on anti-money laundering and counter-terrorism financing from 1993 to 2013, this paper explores the law and development status and ...
aIt requires research into anti money- laundering legislation under the Financial Transactions Reports Act 1988 and the Anti- Money Laundering and Counter- Terrorism Financing Act 2006. A bibliography should be included 它要求研究入反洗钱立法在财务往来报告行动之下1988年和反洗钱和逆恐怖主义金融法案2006...
Money Laundering Choices of Public Officers with Time Constrains and the Anti-Money Laundering Strategies and minimum cost maximum flow theory,we demonstrate the way of solving this model and test effectiveness of this algorithm through sample verification.In ... YW Xue,LI Qiong-Jie,PZ Zhang - 《...
Money Laundering Research Network(MLRN) aims to foster exchange of views, data and knowledge across ML/AML scholars globally. The network is established by academic researchers from various disciplines, active in the study of money laundering (ML) practices and anti-money laundering (AML) policies....
Based on the real estate money-laundering and topology diagram,it constructs the monitoring model of suspicious transfers of funds and proposes some countermeasures in the end.关键词: Real Estate Anti-money Laundering Capital Transfer Monitoring ...
Impacts of AI on compliance, anti-money laundering, and regulatory technology. FinTech and Regulation: Challenges and implications of regulating AI-driven financial services and platforms. Manuscript submission information: Submission Deadline:April 30, 2025 ...
Panel I of the SRB Legal Conference – Legal and Operational Challenges That Arise in Respect of the Cooperation Between Banking Supervision and Resolution... The Commission's legislative Package on anti-money laundering and countering the financing of terrorism currently under discussion foresees the ...
[IBM] Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics 优化方法 ADAM: A Method For Stochastic Optimization ML模型评估策略 Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning ...