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1 Ergebnisse
1
Practical and White-Box Anomaly Detection through Unsupervi..:
, In:
2020 29th International Conference on Computer Communications and Networks (ICCCN)
,
Wang, Yao
;
Wang, Zhaowei
;
Xie, Zejun
... - p. 1-9 , 2020
Link:
https://doi.org/10.1109/ICCCN49398.2020.9209704
RT T1 <cTitle>2020 29th International Conference on Computer Communications and Networks (ICCCN)</cTitle>: T1 <Title>Practical and White-Box Anomaly Detection through Unsupervised and Active Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9209704&Exemplar=1&LAN=DE A1 Wang, Yao A1 Wang, Zhaowei A1 Xie, Zejun A1 Zhao, Nengwen A1 Chen, Junjie A1 Zhang, Wenchi A1 Sui, Kaixin A1 Pei, Dan YR 2020 SN 2637-9430 K1 Anomaly detection K1 Labeling K1 Time series analysis K1 Monitoring K1 Neural networks K1 Forestry K1 Supervised learning K1 Key Performance Indicators K1 Unsupervised Anomaly Detection K1 Time Series K1 Active Learning K1 RRCF SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/ICCCN49398.2020.9209704 DO https://doi.org/10.1109/ICCCN49398.2020.9209704 SF ELIB - SuUB Bremen
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