Anomalidetektering i loggar med förstärkt inlärning
By using machine learning to monitor and find deviations in log data makes it easier for developers and can prevent a workflow from stopping. The goal of this project is to investigate if it is possible to find anomalies in log data using reinforcement learning. An anomaly detection model with reinf...
Main Author: | |
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Format: | Others |
Language: | Swedish |
Published: |
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)
2021
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-82670 |