A data mining approach for health transport demand

dc.contributor.author	Blanco Prieto, J.
dc.contributor.author	Ferreras González, M.
dc.contributor.author	Van Vaerenbergh, S.
dc.contributor.author	Cosido Cobos, Óscar Jesús
dc.date.accessioned	2024-10-09T06:17:57Z
dc.date.available	2024-10-09T06:17:57Z
dc.date.issued	2024
dc.identifier.citation	Machine Learning and Knowledge Extraction, 6(1), p. 78-97 (2024); doi:10.3390/make6010005
dc.identifier.issn	2504-4990
dc.identifier.uri	https://hdl.handle.net/10651/74860
dc.description.sponsorship	This article is part of the project “Research for simulation using Digital Twins based on predictive analysis models focused on space and sanitary resource management” (Grant DIN2020-011554) funded by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”
dc.format.extent	p. 78-97
dc.language.iso	eng
dc.relation.ispartof	Machine Learning and Knowledge Extraction
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights	© 2024 by the authors
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188957427&doi=10.3390%2fmake6010005&partnerID=40&md5=a9590eff62b831af4f7ea6a2cd12639e
dc.title	A data mining approach for health transport demand
dc.type	journal article
dc.identifier.doi	10.3390/make6010005
dc.relation.projectID	DIN2020-011554
dc.relation.publisherversion	http://dx.doi.org/10.3390/make6010005
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

Artículos [37542]
Informática [872]
Investigaciones y Documentos OpenAIRE [8369]
Publicaciones resultado de proyectos financiados con fondos públicos

Este ítem está sujeto a una licencia Creative Commons