Factors influencing charter flight departure delay

This study aims to identify the main factors leading to charter flight departure delay through data mining. The data sample analysed consists of 5,484 flights operated by a European airline between 2014 and 2017. The tuned dataset of 33 features was used for modelling departure delay (e.g., if the f...

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Bibliographic Details
Main Author: Fernandes, N. (author)
Other Authors: Moro, S. (author), Costa, C. (author), Aparicio, M. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Charter industry
Flight delay
Delay prediction
Data mining
Feature relevance
Online Access:http://hdl.handle.net/10071/20156
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/20156

Internet

http://hdl.handle.net/10071/20156

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