Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin-Reference-Cited by-同舟云学术

Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin

Published:2020-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 5th International Conference on Machine Learning Technologies
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Author:

Alarab Ismail¹,Prakoonwit Simant¹,Nacer Mohamed Ikbal¹

Affiliation:

1. Bournemouth University, United Kingdom

Publisher

ACM

Reference18 articles.

1. Go with the -Bitcoin- Flow, with Visual Analytics

2. Leo Breiman. 2001. Random forests. Machine learning 45 1 (2001) 5--32. Leo Breiman. 2001. Random forests. Machine learning 45 1 (2001) 5--32.

3. Jesse Bryan Crawford. 2019. Knowing your bitcoin customer: A survey of bitcoin money laundering services and technical solutions for anti-money laundering compliance. (2019). Jesse Bryan Crawford. 2019. Knowing your bitcoin customer: A survey of bitcoin money laundering services and technical solutions for anti-money laundering compliance. (2019).

4. Christian Decker and Roger Wattenhofer. 2013. Information propagation in the bitcoin network. In IEEE P2P 2013 Proceedings. IEEE 1--10. Christian Decker and Roger Wattenhofer. 2013. Information propagation in the bitcoin network. In IEEE P2P 2013 Proceedings. IEEE 1--10.

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