Web: http://arxiv.org/abs/2112.07508

June 20, 2022, 1:11 a.m. | Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro

cs.LG updates on arXiv.org arxiv.org

Money laundering is a global problem that concerns legitimizing proceeds from
serious felonies (1.7-4 trillion euros annually) such as drug dealing, human
trafficking, or corruption. The anti-money laundering systems deployed by
financial institutions typically comprise rules aligned with regulatory
frameworks. Human investigators review the alerts and report suspicious cases.
Such systems suffer from high false-positive rates, undermining their
effectiveness and resulting in high operational costs. We propose a machine
learning triage model, which complements the rule-based system and learns to …

arxiv graphs learning lg machine machine learning money optimization

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