Modeling Trouble Ticket ResolutionTime Using Machine Learning
This thesis work, conducted at Telenor Sweden, aims to build a model that would try to accurately predict the resolution time of Priority 4 Trouble Tickets. (Priority 4 trouble tickets are those tickets that get generated more often-e in higher volumes per month). It explores and investigates the po...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik och maskininlärning
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176779 |