Visualization in Big Data: a tool for pattern recognition in data stream

Detalhes bibliográficos
Autor(a) principal: Soares, Victor Hugo Andrade
Data de Publicação: 2018
Outros Autores: Santos, Joelson Antônio dos, Naldi, Murilo Coelho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: https://doaj.org/article/312c47b382184147bf589646b05e02d5
http://www.locus.ufv.br/handle/123456789/23856
Resumo: The development of new technologies is responsible for the generation and storage of continuous and massive amounts of data. Such type of data is known as data stream. The analysis of data streams may be advantageous in many fields, like bioinformatics, medicine, companies and others, as it may result in important information about the data. In this work, we propose a new software tool for Data Visualization that permits the analysis of the evolution of clusters in real time during the data streaming. The proposed visualization tool is add-on for SAMOA, a new variant of MOA (Massive Online Analysis) for massive data streams mining and processing distribution.
id UFV_2b2dd5d2d352aae82d65140abe9159f4
oai_identifier_str oai:locus.ufv.br:123456789/23856
network_acronym_str UFV
network_name_str LOCUS Repositório Institucional da UFV
repository_id_str 2145
spelling Visualization in Big Data: a tool for pattern recognition in data streamData miningData streamsData visualizationThe development of new technologies is responsible for the generation and storage of continuous and massive amounts of data. Such type of data is known as data stream. The analysis of data streams may be advantageous in many fields, like bioinformatics, medicine, companies and others, as it may result in important information about the data. In this work, we propose a new software tool for Data Visualization that permits the analysis of the evolution of clusters in real time during the data streaming. The proposed visualization tool is add-on for SAMOA, a new variant of MOA (Massive Online Analysis) for massive data streams mining and processing distribution.Revista de Sistemas de Informação da FSMA2019-03-11T17:53:14Z2019-03-11T17:53:14Z2018-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf19835604https://doaj.org/article/312c47b382184147bf589646b05e02d5http://www.locus.ufv.br/handle/123456789/23856engNumber 15, Pages 30- 39, January/ June 2015Soares, Victor Hugo AndradeSantos, Joelson Antônio dosNaldi, Murilo Coelhoinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T07:50:09Zoai:locus.ufv.br:123456789/23856Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T07:50:09LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Visualization in Big Data: a tool for pattern recognition in data stream
title Visualization in Big Data: a tool for pattern recognition in data stream
spellingShingle Visualization in Big Data: a tool for pattern recognition in data stream
Soares, Victor Hugo Andrade
Data mining
Data streams
Data visualization
title_short Visualization in Big Data: a tool for pattern recognition in data stream
title_full Visualization in Big Data: a tool for pattern recognition in data stream
title_fullStr Visualization in Big Data: a tool for pattern recognition in data stream
title_full_unstemmed Visualization in Big Data: a tool for pattern recognition in data stream
title_sort Visualization in Big Data: a tool for pattern recognition in data stream
author Soares, Victor Hugo Andrade
author_facet Soares, Victor Hugo Andrade
Santos, Joelson Antônio dos
Naldi, Murilo Coelho
author_role author
author2 Santos, Joelson Antônio dos
Naldi, Murilo Coelho
author2_role author
author
dc.contributor.author.fl_str_mv Soares, Victor Hugo Andrade
Santos, Joelson Antônio dos
Naldi, Murilo Coelho
dc.subject.por.fl_str_mv Data mining
Data streams
Data visualization
topic Data mining
Data streams
Data visualization
description The development of new technologies is responsible for the generation and storage of continuous and massive amounts of data. Such type of data is known as data stream. The analysis of data streams may be advantageous in many fields, like bioinformatics, medicine, companies and others, as it may result in important information about the data. In this work, we propose a new software tool for Data Visualization that permits the analysis of the evolution of clusters in real time during the data streaming. The proposed visualization tool is add-on for SAMOA, a new variant of MOA (Massive Online Analysis) for massive data streams mining and processing distribution.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
2019-03-11T17:53:14Z
2019-03-11T17:53:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv 19835604
https://doaj.org/article/312c47b382184147bf589646b05e02d5
http://www.locus.ufv.br/handle/123456789/23856
identifier_str_mv 19835604
url https://doaj.org/article/312c47b382184147bf589646b05e02d5
http://www.locus.ufv.br/handle/123456789/23856
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Number 15, Pages 30- 39, January/ June 2015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Revista de Sistemas de Informação da FSMA
publisher.none.fl_str_mv Revista de Sistemas de Informação da FSMA
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
_version_ 1817559964955181056