Visualizing the historical COVID-19 shock in the US airline industry : a Data Mining approach for dynamic market surveillance
Darío Pérez-Campuzano, Luis Rubio Andrada, Patricio Morcillo Ortega, Antonio López-Lázaro
| Year of publication: |
2022
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|---|---|
| Authors: | Pérez-Campuzano, Darío ; Rubio Andrada, Luis ; Morcillo Ortega, Patricio ; López-Lázaro, Antonio |
| Published in: |
Journal of air transport management. - Amsterdam [u.a.] : Elsevier, ISSN 0969-6997, ZDB-ID 1208154-1. - Vol. 101.2022, p. 1-12
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| Subject: | Airlines | COVID-19 | Data mining (DM) | K-means | Self-organizing map (SOM) | Unsupervised learning | Data Mining | Data mining | Coronavirus | Fluggesellschaft | Airline | Luftverkehr | Air transport | USA | United States | Schock | Shock |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jairtraman.2022.102194 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013207569