Predicting Operator’s Choice During Airline Disruption Using Machine Learning Methods
This master thesis is a collaboration with Jeppesen, a Boeing company to attempt applying machine learning techniques to predict “When does Operator manually solve the disruption? If he chooses to use Optimiser, then which option would he choose? And why?”. Through the course of this project, variou...
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| Format: | Others |
| Language: | English |
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Blekinge Tekniska Högskola, Institutionen för datavetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18839 |