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 |
|---|---|---|
| MENTAT INNOVATIONS LIMITED | £42,000 | £ 42,000 |
People |
ORCID iD |
| Michael Millea (Project Manager) |