Use of data mining to identify trends between variables to improve implementation of an immersive environment

Globally, the implementation of immersive environments for learning activities have been in constant growth which indicates that their development must improve daily. For this reason, this study identifies trends (co-occurrences) and relationships between

Autores:: Zamora Musa, Ronald
Velez, Jeimy

Tipo de recurso:: Article of journal

Fecha de publicación:: 2017

Institución:: Universidad Cooperativa de Colombia

Repositorio:: Repositorio UCC

Idioma:

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spelling	Zamora Musa, RonaldVelez, Jeimy2021-12-16T22:15:21Z2021-12-16T22:15:21Z2017https://doi.org/10.36478/jeasci.2017.5944.59481816949Xhttps://hdl.handle.net/20.500.12494/41233ZAMORA R,VELEZ J. Use of data mining to identify trends between variables to improve implementation of an immersive environment. Journal of Engineering and Applied Sciences. 2017. 12. (22):p. 5844-5948. .Globally, the implementation of immersive environments for learning activities have been in constant growth which indicates that their development must improve daily. For this reason, this study identifies trends (co-occurrences) and relationships between5948-5844Medwell JournalsImmersive environmente-Learningdata miningeducational data miningassociation rules miningUse of data mining to identify trends between variables to improve implementation of an immersive environmentArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionJournal of Engineering and Applied Sciencesinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublication20.500.12494/41233oai:repository.ucc.edu.co:20.500.12494/412332024-08-20 16:23:17.459metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com
dc.title.spa.fl_str_mv	Use of data mining to identify trends between variables to improve implementation of an immersive environment
title	Use of data mining to identify trends between variables to improve implementation of an immersive environment
spellingShingle	Use of data mining to identify trends between variables to improve implementation of an immersive environment Immersive environment e-Learning data mining educational data mining association rules mining
title_short	Use of data mining to identify trends between variables to improve implementation of an immersive environment
title_full	Use of data mining to identify trends between variables to improve implementation of an immersive environment
title_fullStr	Use of data mining to identify trends between variables to improve implementation of an immersive environment
title_full_unstemmed	Use of data mining to identify trends between variables to improve implementation of an immersive environment
title_sort	Use of data mining to identify trends between variables to improve implementation of an immersive environment
dc.creator.fl_str_mv	Zamora Musa, Ronald Velez, Jeimy
dc.contributor.author.none.fl_str_mv	Zamora Musa, Ronald Velez, Jeimy
dc.subject.spa.fl_str_mv	Immersive environment e-Learning data mining educational data mining association rules mining
topic	Immersive environment e-Learning data mining educational data mining association rules mining
description	Globally, the implementation of immersive environments for learning activities have been in constant growth which indicates that their development must improve daily. For this reason, this study identifies trends (co-occurrences) and relationships between
publishDate	2017
dc.date.issued.none.fl_str_mv	2017
dc.date.accessioned.none.fl_str_mv	2021-12-16T22:15:21Z
dc.date.available.none.fl_str_mv	2021-12-16T22:15:21Z
dc.type.none.fl_str_mv	Artículo
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.type.redcol.none.fl_str_mv	http://purl.org/redcol/resource_type/ART
dc.type.version.none.fl_str_mv	info:eu-repo/semantics/publishedVersion
format	http://purl.org/coar/resource_type/c_6501
status_str	publishedVersion
dc.identifier.none.fl_str_mv	https://doi.org/10.36478/jeasci.2017.5944.5948
dc.identifier.issn.spa.fl_str_mv	1816949X
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12494/41233
dc.identifier.bibliographicCitation.spa.fl_str_mv	ZAMORA R,VELEZ J. Use of data mining to identify trends between variables to improve implementation of an immersive environment. Journal of Engineering and Applied Sciences. 2017. 12. (22):p. 5844-5948. .
url	https://doi.org/10.36478/jeasci.2017.5944.5948 https://hdl.handle.net/20.500.12494/41233
identifier_str_mv	1816949X ZAMORA R,VELEZ J. Use of data mining to identify trends between variables to improve implementation of an immersive environment. Journal of Engineering and Applied Sciences. 2017. 12. (22):p. 5844-5948. .
dc.relation.ispartofjournal.spa.fl_str_mv	Journal of Engineering and Applied Sciences
dc.rights.accessrights.none.fl_str_mv	info:eu-repo/semantics/closedAccess
dc.rights.coar.none.fl_str_mv	http://purl.org/coar/access_right/c_14cb
eu_rights_str_mv	closedAccess
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dc.format.extent.spa.fl_str_mv	5948-5844
dc.publisher.spa.fl_str_mv	Medwell Journals
institution	Universidad Cooperativa de Colombia
repository.name.fl_str_mv	Repositorio Institucional Universidad Cooperativa de Colombia
repository.mail.fl_str_mv	bdigital@metabiblioteca.com
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Use of data mining to identify trends between variables to improve implementation of an immersive environment

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