Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808128493604569088 |