A conceptual model for guiding the clustering analysis

Detalhes bibliográficos
Autor(a) principal: Castilho, Wagner Francisco
Data de Publicação: 2008
Outros Autores: Lucena Filho, Gentil José de, Prado, Hércules A. do, Ferneda, Edilson, Axt, Margarete
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UCB
Texto Completo: http://hdl.handle.net/123456789/128
https://repositorio.ucb.br:9443/jspui/handle/123456789/7362
Resumo: Knowledge discovery from databases, in the descriptive approach, includes clustering analysis (CA) as an alternative to estimate how a set of objects is organized in the space of their dimensions. The main objective in this task is to find “natural” groups that could exhibit some meaning. Considering the strong subjectivity that underlies this process, an important issue refers to the relationships among the CA players when looking for a model that could adjust the data. In this work, a model for actions coordination that provides an order to drive the relationships among CA players is presented. This model is presented as a conceptual contribution towards the construction of a computational environment to support effective conversations in a subjective context.
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spelling Castilho, Wagner FranciscoLucena Filho, Gentil José dePrado, Hércules A. doFerneda, EdilsonAxt, Margarete2016-10-10T03:51:14Z2016-10-10T03:51:14Z2008CASTILHO, Wagner Francisco; LUCENA FILHO, Gentil José de; PRADO, Hércules A. do; FERNEDA, Edilson; AXT, Margarete. A conceptual model for guiding the clustering analysis. Lecture Notes in Computer Science, v.5178, p. 483-490, 2008.3029743http://hdl.handle.net/123456789/128https://repositorio.ucb.br:9443/jspui/handle/123456789/7362Knowledge discovery from databases, in the descriptive approach, includes clustering analysis (CA) as an alternative to estimate how a set of objects is organized in the space of their dimensions. The main objective in this task is to find “natural” groups that could exhibit some meaning. Considering the strong subjectivity that underlies this process, an important issue refers to the relationships among the CA players when looking for a model that could adjust the data. In this work, a model for actions coordination that provides an order to drive the relationships among CA players is presented. This model is presented as a conceptual contribution towards the construction of a computational environment to support effective conversations in a subjective context.Made available in DSpace on 2016-10-10T03:51:14Z (GMT). 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dc.title.pt_BR.fl_str_mv A conceptual model for guiding the clustering analysis
title A conceptual model for guiding the clustering analysis
spellingShingle A conceptual model for guiding the clustering analysis
Castilho, Wagner Francisco
Discovery in databases
Data mining
Clustering analysis
Action coordination
title_short A conceptual model for guiding the clustering analysis
title_full A conceptual model for guiding the clustering analysis
title_fullStr A conceptual model for guiding the clustering analysis
title_full_unstemmed A conceptual model for guiding the clustering analysis
title_sort A conceptual model for guiding the clustering analysis
author Castilho, Wagner Francisco
author_facet Castilho, Wagner Francisco
Lucena Filho, Gentil José de
Prado, Hércules A. do
Ferneda, Edilson
Axt, Margarete
author_role author
author2 Lucena Filho, Gentil José de
Prado, Hércules A. do
Ferneda, Edilson
Axt, Margarete
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Castilho, Wagner Francisco
Lucena Filho, Gentil José de
Prado, Hércules A. do
Ferneda, Edilson
Axt, Margarete
dc.subject.por.fl_str_mv Discovery in databases
Data mining
Clustering analysis
Action coordination
topic Discovery in databases
Data mining
Clustering analysis
Action coordination
dc.description.abstract.por.fl_txt_mv Knowledge discovery from databases, in the descriptive approach, includes clustering analysis (CA) as an alternative to estimate how a set of objects is organized in the space of their dimensions. The main objective in this task is to find “natural” groups that could exhibit some meaning. Considering the strong subjectivity that underlies this process, an important issue refers to the relationships among the CA players when looking for a model that could adjust the data. In this work, a model for actions coordination that provides an order to drive the relationships among CA players is presented. This model is presented as a conceptual contribution towards the construction of a computational environment to support effective conversations in a subjective context.
dc.description.version.pt_BR.fl_txt_mv Sim
dc.description.status.pt_BR.fl_txt_mv Publicado
description Knowledge discovery from databases, in the descriptive approach, includes clustering analysis (CA) as an alternative to estimate how a set of objects is organized in the space of their dimensions. The main objective in this task is to find “natural” groups that could exhibit some meaning. Considering the strong subjectivity that underlies this process, an important issue refers to the relationships among the CA players when looking for a model that could adjust the data. In this work, a model for actions coordination that provides an order to drive the relationships among CA players is presented. This model is presented as a conceptual contribution towards the construction of a computational environment to support effective conversations in a subjective context.
publishDate 2008
dc.date.issued.fl_str_mv 2008
dc.date.accessioned.fl_str_mv 2016-10-10T03:51:14Z
dc.date.available.fl_str_mv 2016-10-10T03:51:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
status_str publishedVersion
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dc.identifier.citation.fl_str_mv CASTILHO, Wagner Francisco; LUCENA FILHO, Gentil José de; PRADO, Hércules A. do; FERNEDA, Edilson; AXT, Margarete. A conceptual model for guiding the clustering analysis. Lecture Notes in Computer Science, v.5178, p. 483-490, 2008.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/123456789/128
https://repositorio.ucb.br:9443/jspui/handle/123456789/7362
dc.identifier.issn.none.fl_str_mv 3029743
identifier_str_mv CASTILHO, Wagner Francisco; LUCENA FILHO, Gentil José de; PRADO, Hércules A. do; FERNEDA, Edilson; AXT, Margarete. A conceptual model for guiding the clustering analysis. Lecture Notes in Computer Science, v.5178, p. 483-490, 2008.
3029743
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