Money Laundering Detection using Synthetic Data

Money Laundering Detection using Synthetic Data

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Money Laundering Detection using Synthetic Data

This paper aims to analyze the implications of using machine learning techniques for money laun dering detection (also known as Anti-Money Laun dering, AML) in a data set consisting of synthetic nancial transactions. Our case study is based on the company AB 1.

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