Analysis of Flight Delay Data Using Different Machine Learning Algorithms

Accurate prediction of flights arrival remains a challenge due to dynamic environments. On predominantly challenging days, unforeseen peaks in flight volumes can stretch operational capacity and adversely distress the service levels pro-vided. Anomaly detection is a growing field of study with a var...

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Bibliographic Details

Published in:	2022 New Trends in Civil Aviation (NTCA) pp. 57 - 62
Main Authors:	S., Blessy Trencia Lincy S., Al Ali, Hannah, Majid, Ahmad Abdulla Abdulaziz Mohd, Alhammadi, Omeer Arif Abdelbaqi Abdalla, Aljassmy, Aysha Momen Yousuf Mohammed, Mukandavire, Zindoga
Format:	Conference Proceeding
Language:	English
Published:	Czech Technical University in Prague 26-10-2022
Subjects:	classification Clustering algorithms data-driven analysis delay prediction Machine learning algorithms Predictive models Support vector machines Training Training data Transforms
Online Access:	Get full text
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