Detection of Network Structures and Typologies of Money Laundering Transactions Using Machine Learning Techniques

Analytical presentation by MSc. André Monteiro (AI Manager at Banco do Brasil, Master in BI) — summary of the thesis by Visser, F., & Yazdiha, A. (2020), Erasmus University Rotterdam, on detecting network structures and typologies of money laundering transactions with machine learning.

What you will find:

• The problem: laundering hides inside transaction networks — typologies matter more than isolated transactions
• Method: ML techniques to detect network structures and typologies of laundering transactions
• Focus: graph-based features that expose structuring, layering and integration patterns
• Findings: network-aware models improve identification of laundering typologies vs. transaction-only baselines
• Implication: practical guidance for banks building network-based AML monitoring

Format: PDF, 4 pages, English. Immediate download after purchase.