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Artigo de periodico
Getting over high-dimensionality: how multidimensional projection methods can assist data science (2022)
Ortigossa, Evandro Scudeleti ; Dias, Fabio Felix ; Nascimento, Diego Carvalho do
Source: Applied Sciences. Unidade: ICMC
Subjects: DESCOBERTA DE CONHECIMENTO, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTIGOSSA, Evandro Scudeleti e DIAS, Fabio Felix e NASCIMENTO, Diego Carvalho do. Getting over high-dimensionality: how multidimensional projection methods can assist data science. Applied Sciences, v. 12, n. 13, p. 1-36, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12136799. Acesso em: 10 jan. 2026.
APA
Ortigossa, E. S., Dias, F. F., & Nascimento, D. C. do. (2022). Getting over high-dimensionality: how multidimensional projection methods can assist data science. Applied Sciences, 12( 13), 1-36. doi:10.3390/app12136799
NLM
Ortigossa ES, Dias FF, Nascimento DC do. Getting over high-dimensionality: how multidimensional projection methods can assist data science [Internet]. Applied Sciences. 2022 ; 12( 13): 1-36.[citado 2026 jan. 10 ] Available from: https://doi.org/10.3390/app12136799
Vancouver
Ortigossa ES, Dias FF, Nascimento DC do. Getting over high-dimensionality: how multidimensional projection methods can assist data science [Internet]. Applied Sciences. 2022 ; 12( 13): 1-36.[citado 2026 jan. 10 ] Available from: https://doi.org/10.3390/app12136799
Trabalho de evento
I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs (2021)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Bones, Christian Cesar ; Rebelo, Marina F. S; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, VISUALIZAÇÃO, MINERAÇÃO DE DADOS, REDES COMPLEXAS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00059. Acesso em: 10 jan. 2026.
APA
Linhares, C. D. G., Lima, D. M. de, Bones, C. C., Rebelo, M. F. S., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2021). I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00059
NLM
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Vancouver
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Trabalho de evento
Vis4DD: a visualization system that supports data quality visual assessment (2017)
Josko, João Marcelo Borovina; Ferreira, João Eduardo
Source: Proceedings of the satellite events. Conference titles: Brazilian Symposium on Databases - SBBD. Unidade: IME
Assunto: BANCO DE DADOS RELACIONAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JOSKO, João Marcelo Borovina e FERREIRA, João Eduardo. Vis4DD: a visualization system that supports data quality visual assessment. 2017, Anais.. Uberlândia: SBC, 2017. Disponível em: http://sbbd.org.br/2017/wp-content/uploads/sites/3/2017/10/proceedings-satellite-events-sbbd-2017.pdf. Acesso em: 10 jan. 2026.
APA
Josko, J. M. B., & Ferreira, J. E. (2017). Vis4DD: a visualization system that supports data quality visual assessment. In Proceedings of the satellite events. Uberlândia: SBC. Recuperado de http://sbbd.org.br/2017/wp-content/uploads/sites/3/2017/10/proceedings-satellite-events-sbbd-2017.pdf
NLM
Josko JMB, Ferreira JE. Vis4DD: a visualization system that supports data quality visual assessment [Internet]. Proceedings of the satellite events. 2017 ;[citado 2026 jan. 10 ] Available from: http://sbbd.org.br/2017/wp-content/uploads/sites/3/2017/10/proceedings-satellite-events-sbbd-2017.pdf
Vancouver
Josko JMB, Ferreira JE. Vis4DD: a visualization system that supports data quality visual assessment [Internet]. Proceedings of the satellite events. 2017 ;[citado 2026 jan. 10 ] Available from: http://sbbd.org.br/2017/wp-content/uploads/sites/3/2017/10/proceedings-satellite-events-sbbd-2017.pdf
Trabalho de evento
DualRadviz: preserving context between classification evaluation and data exploration with RadViz (2016)
Corrêa, Igor Bueno; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRÊA, Igor Bueno e CARVALHO, André Carlos Ponce de Leon Ferreira de. DualRadviz: preserving context between classification evaluation and data exploration with RadViz. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/BRACIS.2016.052. Acesso em: 10 jan. 2026.
APA
Corrêa, I. B., & Carvalho, A. C. P. de L. F. de. (2016). DualRadviz: preserving context between classification evaluation and data exploration with RadViz. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.052
NLM
Corrêa IB, Carvalho ACP de LF de. DualRadviz: preserving context between classification evaluation and data exploration with RadViz [Internet]. Proceedings. 2016 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/BRACIS.2016.052
Vancouver
Corrêa IB, Carvalho ACP de LF de. DualRadviz: preserving context between classification evaluation and data exploration with RadViz [Internet]. Proceedings. 2016 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/BRACIS.2016.052
Trabalho de evento-anais periodico
Data quality assessment of very large database through visualization system (2014)
Josko, João Marcelo Borovina; Ferreira, João Eduardo
Source: Proceedings. Conference titles: Brazilian Symposium on Databases - SBBD - Workshop de Teses e Dissertações. Unidade: IME
Assunto: BIG DATA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JOSKO, João Marcelo Borovina e FERREIRA, João Eduardo. Data quality assessment of very large database through visualization system. Proceedings. São Paulo: SBC. Disponível em: http://www.inf.ufpr.br/sbbd-sbsc2014/sbbd/proceedings/artigos/pdfs/16.pdf. Acesso em: 10 jan. 2026. , 2014
APA
Josko, J. M. B., & Ferreira, J. E. (2014). Data quality assessment of very large database through visualization system. Proceedings. São Paulo: SBC. Recuperado de http://www.inf.ufpr.br/sbbd-sbsc2014/sbbd/proceedings/artigos/pdfs/16.pdf
NLM
Josko JMB, Ferreira JE. Data quality assessment of very large database through visualization system [Internet]. Proceedings. 2014 ;[citado 2026 jan. 10 ] Available from: http://www.inf.ufpr.br/sbbd-sbsc2014/sbbd/proceedings/artigos/pdfs/16.pdf
Vancouver
Josko JMB, Ferreira JE. Data quality assessment of very large database through visualization system [Internet]. Proceedings. 2014 ;[citado 2026 jan. 10 ] Available from: http://www.inf.ufpr.br/sbbd-sbsc2014/sbbd/proceedings/artigos/pdfs/16.pdf

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