Using machine learning to analyze air traffic management actions : ground delay program case study
Yulin Liu, Yi Liu, Mark Hansen, Alexey Pozdnukhov, Danqing Zhang
| Year of publication: |
2019
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|---|---|
| Authors: | Liu, Yulin ; Liu, Yi ; Hansen, Mark ; Pozdnukhov, Alexey ; Zhang, Danqing |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 131.2019, p. 80-95
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| Subject: | Convective weather | Feature importance | Ground delay program | Logistic regression | Random forest | Regularized linear models | Support vector machine | Künstliche Intelligenz | Artificial intelligence | Mustererkennung | Pattern recognition | Luftverkehr | Air transport | Mathematische Optimierung | Mathematical programming | Wetter | Weather | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2019.09.012 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012129063