Explainable Feature Engineering for Multi-class Money Laundering Classification
This paper provides insight into typical money laundering typologies used in the financial crime domain and provides a concrete set of methods through the use of which fraudulent transactions may be classified using traditional machine learning algorithms and proving the efficacy of tree-based model...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Inforec Association
2025-01-01
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| Series: | Informatică economică |
| Subjects: | |
| Online Access: | https://www.revistaie.ase.ro/content/113/06%20-%20grigorescu,%20amza.pdf |
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