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Artigo de periodico
Concept drift detection on social network data using cross-recurrence quantification analysis (2018)
Mello, Rodrigo Fernandes de; Rios, Ricardo A; Pagliosa, Paulo A
Source: Chaos. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Rodrigo Fernandes de e RIOS, Ricardo A e PAGLIOSA, Paulo A. Concept drift detection on social network data using cross-recurrence quantification analysis. Chaos, v. 28, p. 085719-1-085719-15, 2018Tradução . . Disponível em: https://doi.org/10.1063/1.5024241. Acesso em: 21 out. 2024.
APA
Mello, R. F. de, Rios, R. A., & Pagliosa, P. A. (2018). Concept drift detection on social network data using cross-recurrence quantification analysis. Chaos, 28, 085719-1-085719-15. doi:10.1063/1.5024241
NLM
Mello RF de, Rios RA, Pagliosa PA. Concept drift detection on social network data using cross-recurrence quantification analysis [Internet]. Chaos. 2018 ; 28 085719-1-085719-15.[citado 2024 out. 21 ] Available from: https://doi.org/10.1063/1.5024241
Vancouver
Mello RF de, Rios RA, Pagliosa PA. Concept drift detection on social network data using cross-recurrence quantification analysis [Internet]. Chaos. 2018 ; 28 085719-1-085719-15.[citado 2024 out. 21 ] Available from: https://doi.org/10.1063/1.5024241
Artigo de periodico
Is even data analysis ready today? (2017)
Mello, Rodrigo Fernandes de; Rios, Ricardo A; Pagliosa, Paulo A; Ishii, Renato P
Source: International Journal of Unconventional Computing. Unidade: ICMC
Subjects: BIG DATA, COMPUTAÇÃO MÓVEL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Rodrigo Fernandes de et al. Is even data analysis ready today?. International Journal of Unconventional Computing, v. 13, n. 3, p. 253-272, 2017Tradução . . Disponível em: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/. Acesso em: 21 out. 2024.
APA
Mello, R. F. de, Rios, R. A., Pagliosa, P. A., & Ishii, R. P. (2017). Is even data analysis ready today? International Journal of Unconventional Computing, 13( 3), 253-272. Recuperado de http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
NLM
Mello RF de, Rios RA, Pagliosa PA, Ishii RP. Is even data analysis ready today? [Internet]. International Journal of Unconventional Computing. 2017 ; 13( 3): 253-272.[citado 2024 out. 21 ] Available from: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
Vancouver
Mello RF de, Rios RA, Pagliosa PA, Ishii RP. Is even data analysis ready today? [Internet]. International Journal of Unconventional Computing. 2017 ; 13( 3): 253-272.[citado 2024 out. 21 ] Available from: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
Trabalho de evento
Analyzing the public opinion on the brazilian political and corruption issues (2017)
Rios, Ricardo A; Lopes, Caio S; Sikansi, Fábio H. G; Pagliosa, Paulo A; Mello, Rodrigo Fernandes de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIOS, Ricardo A et al. Analyzing the public opinion on the brazilian political and corruption issues. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2017.37. Acesso em: 21 out. 2024.
APA
Rios, R. A., Lopes, C. S., Sikansi, F. H. G., Pagliosa, P. A., & Mello, R. F. de. (2017). Analyzing the public opinion on the brazilian political and corruption issues. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2017.37
NLM
Rios RA, Lopes CS, Sikansi FHG, Pagliosa PA, Mello RF de. Analyzing the public opinion on the brazilian political and corruption issues [Internet]. Proceedings. 2017 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1109/BRACIS.2017.37
Vancouver
Rios RA, Lopes CS, Sikansi FHG, Pagliosa PA, Mello RF de. Analyzing the public opinion on the brazilian political and corruption issues [Internet]. Proceedings. 2017 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1109/BRACIS.2017.37
Trabalho de evento-resumo
TsViz Project: a tweet-based mining tool (2017)
Mello, Rodrigo Fernandes de; Rios, Ricardo A; Pagliosa, Paulo A; Ishii, Renato P; Lopes, Caio de Sá; Sikansi, Fabio
Source: Scientific Programme. Conference titles: International Symposium on Recurrence Plots. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Rodrigo Fernandes de et al. TsViz Project: a tweet-based mining tool. 2017, Anais.. São Paulo: Poli/USP, 2017. Disponível em: http://symposium.recurrence-plot.tk/programme2017.pdf. Acesso em: 21 out. 2024.
APA
Mello, R. F. de, Rios, R. A., Pagliosa, P. A., Ishii, R. P., Lopes, C. de S., & Sikansi, F. (2017). TsViz Project: a tweet-based mining tool. In Scientific Programme. São Paulo: Poli/USP. Recuperado de http://symposium.recurrence-plot.tk/programme2017.pdf
NLM
Mello RF de, Rios RA, Pagliosa PA, Ishii RP, Lopes C de S, Sikansi F. TsViz Project: a tweet-based mining tool [Internet]. Scientific Programme. 2017 ;[citado 2024 out. 21 ] Available from: http://symposium.recurrence-plot.tk/programme2017.pdf
Vancouver
Mello RF de, Rios RA, Pagliosa PA, Ishii RP, Lopes C de S, Sikansi F. TsViz Project: a tweet-based mining tool [Internet]. Scientific Programme. 2017 ;[citado 2024 out. 21 ] Available from: http://symposium.recurrence-plot.tk/programme2017.pdf
Trabalho de evento
TSViz: a data stream architecture to online collect, analyze, and visualize tweets (2017)
Rios, Ricardo A; Pagliosa, Paulo A; Ishii, Renato P; Mello, Rodrigo Fernandes de
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: BANCO DE DADOS, RECONHECIMENTO DE PADRÕES, MÍDIAS SOCIAIS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIOS, Ricardo A et al. TSViz: a data stream architecture to online collect, analyze, and visualize tweets. 2017, Anais.. New York: ACM, 2017. Disponível em: https://doi.org/10.1145/3019612.3019811. Acesso em: 21 out. 2024.
APA
Rios, R. A., Pagliosa, P. A., Ishii, R. P., & Mello, R. F. de. (2017). TSViz: a data stream architecture to online collect, analyze, and visualize tweets. In Proceedings. New York: ACM. doi:10.1145/3019612.3019811
NLM
Rios RA, Pagliosa PA, Ishii RP, Mello RF de. TSViz: a data stream architecture to online collect, analyze, and visualize tweets [Internet]. Proceedings. 2017 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1145/3019612.3019811
Vancouver
Rios RA, Pagliosa PA, Ishii RP, Mello RF de. TSViz: a data stream architecture to online collect, analyze, and visualize tweets [Internet]. Proceedings. 2017 ;[citado 2024 out. 21 ] Available from: https://doi.org/10.1145/3019612.3019811

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