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Ledgit: A Service to Diagnose Illicit Addresses on Blockcha..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Zhi, Xiaoying
;
Satsangi, Yash
;
Moran, Sean
. - p. 5069-5073 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557212
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557212&Exemplar=1&LAN=DE A1 Zhi, Xiaoying A1 Satsangi, Yash A1 Moran, Sean A1 Eloul, Shaltiel PB ACM YR 2022 K1 blockchain K1 multimodality K1 risk K1 unsupervised learning K1 Software and its engineering K1 Software creation and management K1 Designing software K1 Software design engineering K1 Applied computing K1 Electronic commerce K1 Secure online transactions SP 5069 OP 5073 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557212 DO https://dl.acm.org/doi/10.1145/3511808.3557212 SF ELIB - SuUB Bremen
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