Unsupervised Machine Learning Approach to the Detection of Money Laundering
Lead Participant:
MENTAT INNOVATIONS LIMITED
Abstract
An anti-money laundering software solution that uses unsupervised machine learning for anomaly detection and can detect money laundering transactions even at small payment thresholds.
Lead Participant | Project Cost | Grant Offer |
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Participant |
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MENTAT INNOVATIONS LIMITED |
People |
ORCID iD |
Michael Millea (Project Manager) |