CONSTRUCTING AND VARYING DATA MODELS FOR UNSUPERVISED ANOMALY DETECTION ON LOG DATAData modelling and domain knowledge’s impact on anomaly detection and explainability
As the complexity of today’s systems increases, manual system monitoring and log file analysis are no longer applicable, giving an increasing need for automated anomaly detection systems. However, most current research in the domain, tend to focus only on the technical details of the frameworks and...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163544 |