Money Laundering Detection with Node2Vec

The widespread use of computing technology has been changing relationships among people in societies. Criminals are aware the power so that many criminal activities involve more systems. Money laundering a significant activity within financial systems for decades. dynamic nature information reduced effectiveness existing money detection mechanisms is an important challenge In this paper, we consider machine learning algorithms as complementary solutions to mechanisms. We have focused on graph-based representation data with Node2Vec better classification results detections algorithms. Our experimental analyses show enable us select most convenient algorithm detections.