Detection of Suspicious Transactions Based on Artificial Intelligence
Financial institutions and regulatory bodies have long sought effective methods to identifyand prevent illicit financial activities. With the exponential increase in digital transactionsand the sophistication of financial crimes, traditional rule-based systems are ofteninadequate to detect emerging patterns of fraudulent behavior.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-10
- DOI
- https://doi.org/10.5281/zenodo.14842115
- Primary Topic
- Clinical Laboratory Practices and Quality Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00