FINDING ANOMALOUS TIME FRAMES IN REAL-WORLD LOG DATA
Anomaly detection is a huge field of research focused on the task of finding weird or outlying points in data. This task is useful in all fields that handle large amounts of data and is therefore a big topic of research. The focus of research often lies in finding novel approaches for finding...
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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-163311 |