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DTW as Alignment Function in the Context of Time Series Balancing

dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorSedano, J.
dc.date.accessioned2019-11-14T10:21:42Z
dc.date.available2019-11-14T10:21:42Z
dc.date.issued2020
dc.identifier.isbn9783030200541
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/53023
dc.description.sponsorshipThis research has been funded by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), under grant TIN2017-84804-R.
dc.format.extentp. 209-218
dc.language.isoeng
dc.relation.ispartof14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.rights© Springer Nature Switzerland AG 2020
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85065924910&doi=10.1007%2f978-3-030-20055-8_20&partnerID=40&md5=f6100301dc42c9956ec1afc72d815eac
dc.titleDTW as Alignment Function in the Context of Time Series Balancing
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-20055-8_20
dc.relation.projectIDMINECO/TIN2017-84804-R
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-20055-8_20


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