NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT

Detalhes bibliográficos
Autor(a) principal: Silva, Carlos Alexandre Siqueira da
Data de Publicação: 2020
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/14452
Resumo: Data streams are important sources of information nowadays, and with the popularization of mobile devices and sensor systems that collect all kinds of data, more and more information is generated at an ever increasing speed. This growth in data supply pos
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spelling Krohling, Renato Antoniohttps://orcid.org/http://lattes.cnpq.br/5300435085221378Silva, Carlos Alexandre Siqueira dahttps://orcid.org/http://lattes.cnpq.br/Mota, Vinicius Fernandes Soareshttps://orcid.org/http://lattes.cnpq.br/9305955394665920Cavalieri, Daniel Cruzhttps://orcid.org/http://lattes.cnpq.br/Santos, Celso Alberto Saibelhttps://orcid.org/0000000232875843http://lattes.cnpq.br/76142061641741512024-05-30T00:49:11Z2024-05-30T00:49:11Z2020-08-06Data streams are important sources of information nowadays, and with the popularization of mobile devices and sensor systems that collect all kinds of data, more and more information is generated at an ever increasing speed. This growth in data supply posNos dias atuais, streams de dados são importantes fontes de informação e, com a popularização de dispositivos móveis e sistemas de sensores que coletam todos os tipos de dados, grandes quantidades de informações são geradas a uma velocidade cada vez maiorTexthttp://repositorio.ufes.br/handle/10/14452porUniversidade Federal do Espírito SantoDoutorado em Ciência da ComputaçãoPrograma de Pós-Graduação em InformáticaUFESBRCentro Tecnológicosubject.br-rjbnCiência da ComputaçãoPalavra-chaveNOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFTNovel semi-supervised algorithms based on extreme learning machine for unbalanced data streams with concept driftinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALCarlosAlexandreSiqueiradaSilva-2020-tese-livre.pdfapplication/pdf3114333http://repositorio.ufes.br/bitstreams/00954a7c-5905-4d81-b436-0f16b27ab0a9/downloadebc407cc6af57a1fd23f0c3ab3a714acMD5110/144522024-06-21 17:49:13.345oai:repositorio.ufes.br:10/14452http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-06-21T17:49:13Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
dc.title.alternative.none.fl_str_mv Novel semi-supervised algorithms based on extreme learning machine for unbalanced data streams with concept drift
title NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
spellingShingle NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
Silva, Carlos Alexandre Siqueira da
Ciência da Computação
Palavra-chave
subject.br-rjbn
title_short NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
title_full NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
title_fullStr NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
title_full_unstemmed NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
title_sort NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
author Silva, Carlos Alexandre Siqueira da
author_facet Silva, Carlos Alexandre Siqueira da
author_role author
dc.contributor.authorID.none.fl_str_mv https://orcid.org/
dc.contributor.authorLattes.none.fl_str_mv http://lattes.cnpq.br/
dc.contributor.advisor1.fl_str_mv Krohling, Renato Antonio
dc.contributor.advisor1ID.fl_str_mv https://orcid.org/
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5300435085221378
dc.contributor.author.fl_str_mv Silva, Carlos Alexandre Siqueira da
dc.contributor.referee1.fl_str_mv Mota, Vinicius Fernandes Soares
dc.contributor.referee1ID.fl_str_mv https://orcid.org/
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/9305955394665920
dc.contributor.referee2.fl_str_mv Cavalieri, Daniel Cruz
dc.contributor.referee2ID.fl_str_mv https://orcid.org/
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/
dc.contributor.referee3.fl_str_mv Santos, Celso Alberto Saibel
dc.contributor.referee3ID.fl_str_mv https://orcid.org/0000000232875843
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/7614206164174151
contributor_str_mv Krohling, Renato Antonio
Mota, Vinicius Fernandes Soares
Cavalieri, Daniel Cruz
Santos, Celso Alberto Saibel
dc.subject.cnpq.fl_str_mv Ciência da Computação
topic Ciência da Computação
Palavra-chave
subject.br-rjbn
dc.subject.por.fl_str_mv Palavra-chave
dc.subject.br-rjbn.none.fl_str_mv subject.br-rjbn
description Data streams are important sources of information nowadays, and with the popularization of mobile devices and sensor systems that collect all kinds of data, more and more information is generated at an ever increasing speed. This growth in data supply pos
publishDate 2020
dc.date.issued.fl_str_mv 2020-08-06
dc.date.accessioned.fl_str_mv 2024-05-30T00:49:11Z
dc.date.available.fl_str_mv 2024-05-30T00:49:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufes.br/handle/10/14452
url http://repositorio.ufes.br/handle/10/14452
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv Text
dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Doutorado em Ciência da Computação
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Informática
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Centro Tecnológico
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Doutorado em Ciência da Computação
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
instname:Universidade Federal do Espírito Santo (UFES)
instacron:UFES
instname_str Universidade Federal do Espírito Santo (UFES)
instacron_str UFES
institution UFES
reponame_str Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
collection Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
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repository.mail.fl_str_mv
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