Applying Machine Learning to Aviation Big Data for Flight Delay Prediction

Yushan Jiang; Yongxin Liu; Dahai Liu; Houbing Song

doi:10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114

Applying Machine Learning to Aviation Big Data for Flight Delay Prediction

Yushan Jiang, Yongxin Liu, Dahai Liu, Houbing Song

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	665-672
Number of pages	8
ISBN (Electronic)	9781728166094
DOIs	https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114
State	Published - Aug 2020
Externally published	Yes
Event	18th IEEE International Conference on Dependable, Autonomic and Secure Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing, 6th IEEE International Conference on Cloud and Big Data Computing and 5th IEEE Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020 - Virtual, Calgary, Canada Duration: Aug 17 2020 → Aug 24 2020

Publication series

Name	Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020

Conference

Conference	18th IEEE International Conference on Dependable, Autonomic and Secure Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing, 6th IEEE International Conference on Cloud and Big Data Computing and 5th IEEE Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020
Country/Territory	Canada
City	Virtual, Calgary
Period	8/17/20 → 8/24/20

ASJC Scopus Subject Areas

Information Systems and Management
Computer Science (miscellaneous)
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Safety, Risk, Reliability and Quality
Control and Optimization
Modeling and Simulation

Keywords

Aviation Data Analytics
Flight Delay
Machine Learning

Access to Document

10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114

Cite this

Jiang, Y., Liu, Y., Liu, D., & Song, H. (2020). Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. In Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020 (pp. 665-672). Article 9251206 (Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114

Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. / Jiang, Yushan; Liu, Yongxin; Liu, Dahai et al.
Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 665-672 9251206 (Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jiang, Y, Liu, Y, Liu, D & Song, H 2020, Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. in Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020., 9251206, Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020, Institute of Electrical and Electronics Engineers Inc., pp. 665-672, 18th IEEE International Conference on Dependable, Autonomic and Secure Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing, 6th IEEE International Conference on Cloud and Big Data Computing and 5th IEEE Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020, Virtual, Calgary, Canada, 8/17/20. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114

Jiang Y, Liu Y, Liu D, Song H. Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. In Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 665-672. 9251206. (Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020). doi: 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00114

Jiang, Yushan ; Liu, Yongxin ; Liu, Dahai et al. / Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 665-672 (Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020).

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author = "Yushan Jiang and Yongxin Liu and Dahai Liu and Houbing Song",

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T3 - Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 17 August 2020 through 24 August 2020

ER -

Applying Machine Learning to Aviation Big Data for Flight Delay Prediction

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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