Anomaly detection in cloud computing environments:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Berlin
2020
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| Subjects: | |
| Online Access: | Volltext |
| Physical Description: | 1 Online-Ressource (v, 129 Seiten) Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-10393 |
Staff View
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| spelling | Schmidt, Florian Johannes Verfasser (DE-588)1217812628 aut Anomaly detection in cloud computing environments vorgelegt von M.Sc. Florian Johannes Schmidt Berlin 2020 1 Online-Ressource (v, 129 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität Berlin 2020 (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe (DE-604)BV046903034 https://doi.org/10.14279/depositonce-10393 Resolving-System kostenfrei Volltext |
| spellingShingle | Schmidt, Florian Johannes Anomaly detection in cloud computing environments |
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| title | Anomaly detection in cloud computing environments |
| title_auth | Anomaly detection in cloud computing environments |
| title_exact_search | Anomaly detection in cloud computing environments |
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| title_full | Anomaly detection in cloud computing environments vorgelegt von M.Sc. Florian Johannes Schmidt |
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| title_full_unstemmed | Anomaly detection in cloud computing environments vorgelegt von M.Sc. Florian Johannes Schmidt |
| title_short | Anomaly detection in cloud computing environments |
| title_sort | anomaly detection in cloud computing environments |
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