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AcLog: An Approach to Detecting Anomalies from System Logs ..:
, In:
2023 IEEE International Conference on Web Services (ICWS)
,
Duan, Chiming
;
Jia, Tong
;
Li, Ying
. - p. 436-443 , 2023
Link:
https://doi.org/10.1109/ICWS60048.2023.00062
RT T1 <cTitle>2023 IEEE International Conference on Web Services (ICWS)</cTitle>: T1 <Title>AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10248257&Exemplar=1&LAN=DE A1 Duan, Chiming A1 Jia, Tong A1 Li, Ying A1 Huang, Gang YR 2023 SN 2836-3868 K1 Training K1 Web services K1 Microservice architectures K1 Training data K1 Data models K1 Software reliability K1 Labeling K1 Anomaly detection K1 Log analysis K1 Active learning K1 Deep Learning K1 Human Feedback SP 436 OP 443 LK http://dx.doi.org/https://doi.org/10.1109/ICWS60048.2023.00062 DO https://doi.org/10.1109/ICWS60048.2023.00062 SF ELIB - SuUB Bremen
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