Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining

Detalhes bibliográficos
Autor(a) principal: ITALO GOMES SANTANA
Data de Publicação: 2018
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6292458
id BRCRIS_fef9b0d28c6a9ff5d2d328deaf8d72c3
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
title Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
spellingShingle Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
Data Mining
Mineração de Dados
ITALO GOMES SANTANA
title_short Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
title_full Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
title_fullStr Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
title_full_unstemmed Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
title_sort Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
topic Data Mining
Mineração de Dados
publishDate 2018
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6292458
author_role author
author ITALO GOMES SANTANA
author_facet ITALO GOMES SANTANA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9926924999426073
dc.contributor.advisor1.fl_str_mv Alexandre Plastino de Carvalho
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4985266524417261
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000340390915
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
instname_str UNIVERSIDADE FEDERAL FLUMINENSE
dc.publisher.program.fl_str_mv COMPUTAÇÃO
dc.description.course.none.fl_txt_mv COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningImproving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data MiningData Mining2018masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6292458authorITALO GOMES SANTANAhttp://lattes.cnpq.br/9926924999426073Alexandre Plastino de Carvalhohttp://lattes.cnpq.br/4985266524417261https://orcid.org/0000000340390915UNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSECOMPUTAÇÃOCOMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv SANTANA, ITALO GOMES. Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining. 2018. Tese.
dc.identifier.citation.fl_str_mv SANTANA, ITALO GOMES. Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining. 2018. Tese.
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