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1 Ergebnisse
1
Machine learning methods to detect money laundering in the ..:
, In:
Proceedings of the First ACM International Conference on AI in Finance
,
Lorenz, Joana
;
Silva, Maria Inês
;
Aparício, David
.. - p. 1-8 , 2020
Link:
https://dl.acm.org/doi/10.1145/3383455.3422549
RT T1 <cTitle>Proceedings of the First ACM International Conference on AI in Finance</cTitle>: T1 <Title>Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3422549&Exemplar=1&LAN=DE A1 Lorenz, Joana A1 Silva, Maria Inês A1 Aparício, David A1 Ascensão, João Tiago A1 Bizarro, Pedro PB ACM YR 2020 K1 active learning K1 anomaly detection K1 anti money laundering K1 cryptocurrency K1 supervised classification K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Applied computing K1 Law, social and behavioral sciences K1 Economics K1 Learning settings K1 Active learning settings K1 Unsupervised learning K1 Anomaly detection SP 1 OP 8 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3383455.3422549 DO https://dl.acm.org/doi/10.1145/3383455.3422549 SF ELIB - SuUB Bremen
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