Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo

Detalhes bibliográficos
Autor(a) principal: Lima, Thiago G. [UNESP]
Data de Publicação: 2017
Outros Autores: Correia, Ronaldo C. M. [UNESP], Eler, Danilo M. [UNESP], Olivete-Jr, Celso [UNESP], Garcia, Rogerio E. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.23919/CISTI.2017.7975734
http://hdl.handle.net/11449/175018
Resumo: The process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, high speed and with a large variety, which makes it require accurate, efficient and scalable methods to handle them. Due to this scenario, several tools and methodologies have been developed to enable data analysis and mining processes. However, there is still a lack of KDD methods based on non-relational data. Considering this scenario, this work aims to present a tool capable of providing selection, preprocessing, transformation, mining and data analysis through databases. Our results consist in a case study, which is used to demonstrate the potential of the MineraMongo tool. This research contributes in a framework of analytical and computational techniques.
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spelling Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongoKDD processes in non-relational data: The case of the MineraMongo toolData MiningMineraMongoMongoDBWekaThe process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, high speed and with a large variety, which makes it require accurate, efficient and scalable methods to handle them. Due to this scenario, several tools and methodologies have been developed to enable data analysis and mining processes. However, there is still a lack of KDD methods based on non-relational data. Considering this scenario, this work aims to present a tool capable of providing selection, preprocessing, transformation, mining and data analysis through databases. Our results consist in a case study, which is used to demonstrate the potential of the MineraMongo tool. This research contributes in a framework of analytical and computational techniques.Departamento de Matemática e Computação (DMC) Universidade Estadual Paulista (FCT/UNESP) Presidente PrudenteDepartamento de Matemática e Computação (DMC) Universidade Estadual Paulista (FCT/UNESP) Presidente PrudenteUniversidade Estadual Paulista (Unesp)Lima, Thiago G. [UNESP]Correia, Ronaldo C. M. [UNESP]Eler, Danilo M. [UNESP]Olivete-Jr, Celso [UNESP]Garcia, Rogerio E. [UNESP]2018-12-11T17:13:52Z2018-12-11T17:13:52Z2017-07-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.23919/CISTI.2017.7975734Iberian Conference on Information Systems and Technologies, CISTI.2166-07352166-0727http://hdl.handle.net/11449/17501810.23919/CISTI.2017.79757342-s2.0-850269979042616135175972629Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIberian Conference on Information Systems and Technologies, CISTI0,136info:eu-repo/semantics/openAccess2024-06-19T14:32:17Zoai:repositorio.unesp.br:11449/175018Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:16:34.384839Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
KDD processes in non-relational data: The case of the MineraMongo tool
title Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
spellingShingle Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
Lima, Thiago G. [UNESP]
Data Mining
MineraMongo
MongoDB
Weka
title_short Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
title_full Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
title_fullStr Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
title_full_unstemmed Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
title_sort Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
author Lima, Thiago G. [UNESP]
author_facet Lima, Thiago G. [UNESP]
Correia, Ronaldo C. M. [UNESP]
Eler, Danilo M. [UNESP]
Olivete-Jr, Celso [UNESP]
Garcia, Rogerio E. [UNESP]
author_role author
author2 Correia, Ronaldo C. M. [UNESP]
Eler, Danilo M. [UNESP]
Olivete-Jr, Celso [UNESP]
Garcia, Rogerio E. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Lima, Thiago G. [UNESP]
Correia, Ronaldo C. M. [UNESP]
Eler, Danilo M. [UNESP]
Olivete-Jr, Celso [UNESP]
Garcia, Rogerio E. [UNESP]
dc.subject.por.fl_str_mv Data Mining
MineraMongo
MongoDB
Weka
topic Data Mining
MineraMongo
MongoDB
Weka
description The process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, high speed and with a large variety, which makes it require accurate, efficient and scalable methods to handle them. Due to this scenario, several tools and methodologies have been developed to enable data analysis and mining processes. However, there is still a lack of KDD methods based on non-relational data. Considering this scenario, this work aims to present a tool capable of providing selection, preprocessing, transformation, mining and data analysis through databases. Our results consist in a case study, which is used to demonstrate the potential of the MineraMongo tool. This research contributes in a framework of analytical and computational techniques.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-11
2018-12-11T17:13:52Z
2018-12-11T17:13:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.23919/CISTI.2017.7975734
Iberian Conference on Information Systems and Technologies, CISTI.
2166-0735
2166-0727
http://hdl.handle.net/11449/175018
10.23919/CISTI.2017.7975734
2-s2.0-85026997904
2616135175972629
identifier_str_mv
Iberian Conference on Information Systems and Technologies, CISTI.
2166-0735
2166-0727
10.23919/CISTI.2017.7975734
2-s2.0-85026997904
2616135175972629
url http://dx.doi.org/10.23919/CISTI.2017.7975734
http://hdl.handle.net/11449/175018
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
0,136
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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