Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance
- DOI
- 10.1016/j.jairtraman.2022.102194
- Published
- 2022-06
- Container
- Journal of Air Transport Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jairtraman.2022.102194,
title = {Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance},
author = {Darío Pérez-Campuzano and Luis Rubio Andrada and Patricio Morcillo Ortega and Antonio López-Lázaro},
year = {2022},
journal = {Journal of Air Transport Management},
doi = {10.1016/j.jairtraman.2022.102194},
url = {https://doi.org/10.1016/j.jairtraman.2022.102194}
}RIS
TY - JOUR TI - Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance AU - Darío Pérez-Campuzano AU - Luis Rubio Andrada AU - Patricio Morcillo Ortega AU - Antonio López-Lázaro PY - 2022 JO - Journal of Air Transport Management DO - 10.1016/j.jairtraman.2022.102194 UR - https://doi.org/10.1016/j.jairtraman.2022.102194 ER -
APA
Pérez-Campuzano, D., Andrada, L. R., Ortega, P. M., & López-Lázaro, A. (2022). Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance. Journal of Air Transport Management. https://doi.org/10.1016/j.jairtraman.2022.102194
Source records
- crossref · retrieved 2026-09-27T16:00:46.005Z