Development of a predictive model for on-time arrival flight of airliner by discovering correlation between flight and weather data
Abstract An important business of airlines is to get customer satisfaction. Due to bad weather, a mechanical reason, and the late arrival of the aircraft to the point of departure, flights delay and lead to customer dissatisfaction. A predictive model of on-time arrival flight is proposed with using...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-09-01
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| Series: | Journal of Big Data |
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| Online Access: | http://link.springer.com/article/10.1186/s40537-019-0251-y |