Comparative analysis of machine learning algorithms for money laundering detection
Abstract This study explored the effectiveness of anomaly detection techniques in identifying fraudulent financial transactions, with a particular focus on money laundering activities. The research addressed the growing challenges of financial fraud, which significantly impacts economies and financi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00397-4 |
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