Comparative analysis of machine learning algorithms for money laundering detection

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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Bibliographic Details
Main Authors: Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Fraud detection
Money laundering
Machine learning
Anomaly detection
XGBoost
Online Access:https://doi.org/10.1007/s44163-025-00397-4
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https://doi.org/10.1007/s44163-025-00397-4

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