AGRUPAMIENTO DE DATOS DE SERIES DE TIEMPO. ESTADO DEL ARTE

dc.contributor.authorCastellanos, Gustavo Caceresspa
dc.contributor.authorRodríguez Rodríguez, Jorge Enriquespa
dc.date2013-07-15
dc.date.accessioned2019-09-19T21:51:31Z
dc.date.available2019-09-19T21:51:31Z
dc.descriptionTime series clustering has been an important research field in the last decade, providing useful and effective information in diverse domain. As outcome of the great existing interest for part of the scientific community of data mining area, innumerable research works have arisen that propose new algorithms and methodologies to identify cluster in the data time series. To provide an overview, this paper surveys and summarizes works that investigated the data time series clustering in diverse applications field. The basic concepts of time series clustering are presented and the surveyed works are organized into three groups: temporal-proximity-based, model-based and representation-based. The application areas are summarized with a brief description of the used data. The characteristics and particularities of some works are discussed.es-ES
dc.formatapplication/pdf
dc.identifierhttps://revistas.udistrital.edu.co/index.php/vinculos/article/view/4191
dc.identifier10.14483/2322939X.4191
dc.identifier.urihttp://hdl.handle.net/11349/21414
dc.languagespa
dc.publisherUniversidad Distrital Francisco José de Caldases-ES
dc.relationhttps://revistas.udistrital.edu.co/index.php/vinculos/article/view/4191/5847
dc.sourceRevista Vínculos; v. 8 n. 1 (2011); 210-231pt-BR
dc.sourceRevista vínculos; Vol. 8 Núm. 1 (2011); 210-231es-ES
dc.sourceRevista Vínculos; Vol 8 No 1 (2011); 210-231en-US
dc.source2322-939X
dc.source1794-211X
dc.subjectTime series dataes-ES
dc.subjecttime seriesclusteringes-ES
dc.titleAGRUPAMIENTO DE DATOS DE SERIES DE TIEMPO. ESTADO DEL ARTEes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.type.coarhttp://purl.org/coar/resource_type/c_6501

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