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Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance

dc.contributor.authorPérez Campuzano, Darío
dc.contributor.authorRubio Andrada, Luis 
dc.contributor.authorMorcillo Ortega, Patricio 
dc.contributor.authorLópez Lázaro, Antonio
dc.contributor.otherUAM. Departamento de Economía Aplicadaes_ES
dc.date.accessioned2022-07-07T08:14:54Z
dc.date.available2022-07-07T08:14:54Z
dc.date.issued2022-02-28
dc.identifier.citationJournal of Air Transport Management 101 (2022): 102194es_ES
dc.identifier.issn0969-6997 (print)es_ES
dc.identifier.urihttp://hdl.handle.net/10486/703020
dc.description.abstractOne of the purposes of Artificial Intelligence tools is to ease the analysis of large amounts of data. In order to support the strategic decision-making process of the airlines, this paper proposes a Data Mining approach (focused on visualization) with the objective of extracting market knowledge from any database of industry players or competitors. The method combines two clustering techniques (Self-Organizing Maps, SOMs, and Kmeans) via unsupervised learning with promising dynamic applications in different sectors. As a case study, 30- year data from 18 diverse US passenger airlines is used to showcase the capabilities of this tool including the identification and assessment of market trends, M&A events or the COVID-19 consequencesen_US
dc.description.sponsorshipThis work was supported by LLM Aviation and Euroairlinesen_US
dc.format.extent12 pag.es_ES
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen
dc.publisherElsevieres_ES
dc.relation.ispartofJournal of Air Transport Managementen_US
dc.rights© 2022 The Authorses_ES
dc.subject.otherAirlinesen_US
dc.subject.otherCOVID-19es_ES
dc.subject.otherData mining (DM)en_US
dc.subject.otherUnsupervised learningen_US
dc.subject.otherSelf-organizing map (SOM)en_US
dc.subject.otherK-meansen_US
dc.titleVisualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillanceen_US
dc.typearticleen_US
dc.subject.ecienciaEconomíaes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.jairtraman.2022.102194es_ES
dc.identifier.doi10.1016/j.jairtraman.2022.102194es_ES
dc.identifier.publicationfirstpage102194-1es_ES
dc.identifier.publicationlastpage102194-12es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.ccReconocimiento – NoComercial – SinObraDerivadaes_ES
dc.rights.accessRightsopenAccessen_US
dc.facultadUAMFacultad de Ciencias Económicas y Empresarialeses_ES


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