Exploratory data analysis for airline disruption management

Reliable platforms for data collation during airline schedule operations have significantly increased the quality and quantity of available information for effectively managing airline schedule disruptions. To that effect, this paper applies macroscopic and microscopic techniques by way of basic sta...

Full description

Bibliographic Details

Published in:	Machine Learning with Applications
Main Authors:	Kolawole Ogunsina, Ilias Bilionis, Daniel DeLaurentis
Format:	Article
Language:	English
Published:	Elsevier 2021-12-01
Subjects:	Airline disruption management Data analysis Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666827021000517