@inproceedings{72b5a2885e314dc68b9f84f1d9fb1d40,
title = "Predicting flight departure delay at porto airport: A preliminary study",
abstract = "Managing an airport is very complex. Decisions are often based on common sense and influence several variables, such as flight delay. This paper considers the problem of predicting flight departure delay at Porto Airport. As far as we know, this the first study on the subject. The problem is treated as an ordinal classification task and a suitable approach, based on the so-called unimodal model, is used to predict the delay. The unimodal model is implemented using neural networks and, for comparison purposes, also using trees.",
keywords = "Flight Delay Prediction, Neural Networks, Ordinal Classification, Trees, Unimodal Model",
author = "Hugo Alonso and Ant{\'o}nio Loureiro",
note = "Publisher Copyright: Copyright {\textcopyright} 2015 by SCITEPRESS - Science and Technology Publications, Lda.; 7th International Joint Conference on Computational Intelligence, IJCCI 2015 ; Conference date: 12-11-2015 Through 14-11-2015",
year = "2015",
doi = "10.5220/0005587700930098",
language = "English",
series = "IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence",
publisher = "SciTePress",
pages = "93--98",
editor = "Agostinho Rosa and Merelo, {Juan Julian} and Antonio Dourado and Cadenas, {Jose M.} and Kurosh Madani and Antonio Ruano and Joaquim Filipe and Joaquim Filipe",
booktitle = "NCTA",
}