... be contacted at: endre.j.reite@ntnu.no © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Money laundering Machine learning XGBoost Supervised learning Client risk classification Machine learning is increasingly used to detect money laundering...

.../anti-money laundering (BSA/AML) officers and model validation analysts for BSA/AML compliance models. Artificial intelligence Machine learning Predictive modeling Supervised learning BSA/AML Suspicious activity report (SAR) Transaction monitoring FinCEN OFAC Money laundering...

... exchanges. Anti-money laundering Machine learning Supervised learning Algorithms Cryptocurrency Four supervised-learning algorithms were compared using the Bitcoin Elliptic Dataset. The method covered a quantitative analysis of the algorithmic performance, capturing differences in three...

... performance measure specifically tailored to compare the proposed method to the bank’s existing AML system. Machine learning XGBoost Supervised learning Suspicious transaction Historically, alert systems based on a set of fixed threshold rules were used to flag suspicious transactions...