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1
A Framework for Detecting Frauds from Extremely Few Labels:
, In:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
,
Zhang, Ya-Lin
;
Sun, Yi-Xuan
;
Fan, Fangfang
... - p. 1124-1127 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539597.3573022
RT T1 <cTitle>Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>A Framework for Detecting Frauds from Extremely Few Labels</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3573022&Exemplar=1&LAN=DE A1 Zhang, Ya-Lin A1 Sun, Yi-Xuan A1 Fan, Fangfang A1 Li, Meng A1 Zhao, Yeyu A1 Wang, Wei A1 Li, Longfei A1 Zhou, Jun A1 Feng, Jinghua PB ACM YR 2023 K1 fraud detection K1 rule mining K1 weakly supervised learning K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Machine learning approaches SP 1124 OP 1127 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539597.3573022 DO https://dl.acm.org/doi/10.1145/3539597.3573022 SF ELIB - SuUB Bremen
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