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Schulte-Kroll, Anne (2022) Unsupervised Learning of Reusable Text Sequence Representations for IT-Infrastructure Health Monitoring using Anomaly Detection. Master's, FSU Jena.
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| Item URL in elib: | https://elib.dlr.de/192002/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Unsupervised Learning of Reusable Text Sequence Representations for IT-Infrastructure Health Monitoring using Anomaly Detection | ||||||||
| Authors: |
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| Date: | 7 December 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Anomaly Detection, Representation Learning, Log Monitoring | ||||||||
| Institution: | FSU Jena | ||||||||
| HGF - Research field: | other | ||||||||
| HGF - Program: | other | ||||||||
| HGF - Program Themes: | other | ||||||||
| DLR - Research area: | Digitalisation | ||||||||
| DLR - Program: | D KIZ - Artificial Intelligence | ||||||||
| DLR - Research theme (Project): | D - CausalAnomalies, R - Intelligent analysis and methods for safe software development | ||||||||
| Location: | Jena | ||||||||
| Institutes and Institutions: | Institute of Data Science > Data Analysis and Intelligence Institute of Data Science > IT-Security | ||||||||
| Deposited By: | Gruner, Bernd | ||||||||
| Deposited On: | 19 Dec 2022 11:18 | ||||||||
| Last Modified: | 19 Dec 2022 11:18 |
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