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1 Ergebnisse
1
Detecting Illicit Food Factories from Chemical Declaration ..:
, In:
Proceedings of the ACM on Web Conference 2024
,
Yang, Sheng-Fang
;
Li, Cheng-Te
- p. 4501-4511 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589334.3648138
RT T1
Proceedings of the ACM on Web Conference 2024
: T1
Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking
UL https://suche.suub.uni-bremen.de/peid=acm-3648138&Exemplar=1&LAN=DE A1 Yang, Sheng-Fang A1 Li, Cheng-Te PB ACM YR 2024 K1 biparite graphs K1 chemical declaration data K1 food technology K1 fraud detection K1 illicit food factories K1 social good K1 Information systems K1 Information systems applications K1 Data mining SP 4501 OP 4511 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589334.3648138 DO https://dl.acm.org/doi/10.1145/3589334.3648138 SF ELIB - SuUB Bremen
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