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1 Ergebnisse
1
fKPISelect: Fault-Injection Based Automated KPI Selection f..:
, In:
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)
,
Zhang, Xingjian
;
Zhao, Yinqin
;
Liu, Chang
... - p. 183-194 , 2023
Link:
https://doi.org/10.1109/ISSRE59848.2023.00084
RT T1 <cTitle>2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)</cTitle>: T1 <Title>fKPISelect: Fault-Injection Based Automated KPI Selection for Practical Multivariate Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10301214&Exemplar=1&LAN=DE A1 Zhang, Xingjian A1 Zhao, Yinqin A1 Liu, Chang A1 Wang, Long A1 Yang, Xin A1 Hou, Yefei A1 Lan, Zhongwen A1 Hu, Xining A1 Miao, Beibei A1 Yang, Ming A1 Jing, Xiangyi A1 Li, Sijie YR 2023 SN 2332-6549 K1 Sensitivity K1 Key performance indicator K1 Time series analysis K1 Neural networks K1 Reliability engineering K1 Data models K1 Software reliability K1 anomaly detection K1 cloud reliability K1 unsupervised learning K1 KPI K1 multivariant analysis SP 183 OP 194 LK http://dx.doi.org/https://doi.org/10.1109/ISSRE59848.2023.00084 DO https://doi.org/10.1109/ISSRE59848.2023.00084 SF ELIB - SuUB Bremen
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