Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks

Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks

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Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks

This paper aims to build a machine learning and a neural network model to detect the probability of money laundering in banks. The paper's data came from a simulation of actual transactions flagged for money laundering in Middle Eastern banks. The main findings highlight that criminal networks mainly use the integration stage to integrate money into the financial system.

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