Classification of BOF slag by data mining techniques according to chemical composition

dc.contributor.author	Andrés Vizán, Sara María
dc.contributor.author	Villanueva Balsera, Joaquín Manuel
dc.contributor.author	Álvarez Cabal, José Valeriano
dc.contributor.author	Martínez Huerta, Gemma Marta
dc.date.accessioned	2020-09-24T07:43:36Z
dc.date.available	2020-09-24T07:43:36Z
dc.date.issued	2020
dc.identifier.citation	Sustainability (Switzerland), 12(8), p. 3301- (2020); doi:10.3390/SU12083301
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10651/56428
dc.description.sponsorship	This work was supported by the Science, Technology and Innovation Plan of the Principality of Asturias (Spain) Ref: IDI/2018/000225, which is part-funded by the European Regional Development Fund (ERDF).
dc.format.extent	p. 3301-
dc.language.iso	eng
dc.relation.ispartof	Sustainability (Switzerland)
dc.rights	© 2020 los autores
dc.rights	CC Reconocimiento 4.0 Internacional
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-s2.0-85084667215&doi=10.3390%2fSU12083301&partnerID=40&md5=7a48e39f4928d89c95fe7fa4b00f44a5
dc.title	Classification of BOF slag by data mining techniques according to chemical composition
dc.type	journal article
dc.identifier.doi	10.3390/SU12083301
dc.relation.projectID	GRUPIN-IDI/2018-000225
dc.relation.publisherversion	http://dx.doi.org/10.3390/SU12083301
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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