Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

1 code implementation • 29 May 2020 • Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

First, we show that existing state-of-the-art solutions using unsupervised anomaly detection methods are inadequate to detect the illicit patterns in a real Bitcoin transaction dataset.

Active Learning Unsupervised Anomaly Detection