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http://hdl.handle.net/10773/14916
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Alonso, Hugo | pt |
dc.contributor.author | Loureiro, António | pt |
dc.date.accessioned | 2015-12-02T11:49:35Z | - |
dc.date.available | 2015-12-02T11:49:35Z | - |
dc.date.issued | 2015 | - |
dc.identifier.isbn | 978-989-758-157-1 | - |
dc.identifier.uri | http://hdl.handle.net/10773/14916 | - |
dc.description.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. | pt |
dc.language.iso | eng | pt |
dc.publisher | SCITEPRESS – Science and Technology Publications | pt |
dc.relation | UID/MAT/04106/2013 | pt |
dc.rights | openAccess | por |
dc.subject | Flight delay prediction | pt |
dc.subject | Ordinal classification | pt |
dc.subject | Unimodal model | pt |
dc.subject | Neural networks | pt |
dc.subject | Trees | pt |
dc.title | Predicting flight departure delay at Porto Airport: a preliminary study | pt |
dc.type | conferenceObject | pt |
dc.peerreviewed | yes | pt |
ua.publicationstatus | published | pt |
ua.event.date | 12-14 Novembro, 2015 | pt |
ua.event.type | conference | pt |
degois.publication.firstPage | 93 | pt |
degois.publication.lastPage | 98 | pt |
degois.publication.title | Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) | pt |
degois.publication.volume | 3: NCTA | pt |
dc.relation.publisherversion | http://www.ijcci.org/?y=2015 | pt |
Appears in Collections: | CIDMA - Comunicações SCG - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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NCTA2015.pdf | 112.71 kB | Adobe PDF | View/Open |
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