Student performance prediction applying missing data imputation in electrical engineering studies degree

dc.contributor.author	Crespo Turrado, María Concepción
dc.contributor.author	Casteleiro Roca, José Luis
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	López Vázquez, José Antonio
dc.contributor.author	Cos Juez, Francisco Javier de
dc.contributor.author	Calvo Rolle, José Luis
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.date.accessioned	2017-02-01T07:40:08Z
dc.date.available	2017-02-01T07:40:08Z
dc.date.issued	2016
dc.identifier.isbn	9783319320335
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/39690
dc.description	International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 (11th. 2016. Sevilla)
dc.format.extent	p. 126-135
dc.language.iso	eng
dc.relation.ispartof	11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016
dc.relation.ispartofseries	Lecture Notes in Computer Science;9648
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964049283&partnerID=40&md5=7e5b5f625d59942a2cf38016a638186f
dc.title	Student performance prediction applying missing data imputation in electrical engineering studies degree	eng
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-32034-2_11
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-32034-2_11

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