NOVEL SEMI-SUPERVISED ALGORITHMS BASED ON EXTREME LEARNING MACHINE FOR UNBALANCED DATA STREAMS WITH CONCEPT DRIFT
Autor(a) principal: | |
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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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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/downloadebc407cc6af57a1fd23f0c3ab3a714acMD5110/144522024-07-18 18:50:10.63oai:repositorio.ufes.br:10/14452http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-10-15T17:59:32.084714Repositório 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 |
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Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
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Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
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