TsViz Project: a tweet-based mining tool (2017)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- Subjects: MINERAÇÃO DE DADOS; ANÁLISE DE SÉRIES TEMPORAIS; MÍDIAS SOCIAIS
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Programme
- Conference titles: International Symposium on Recurrence Plots
-
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: 27 jan. 2026. -
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 2026 jan. 27 ] 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 2026 jan. 27 ] Available from: http://symposium.recurrence-plot.tk/programme2017.pdf - Improving performance of information quality applications: a scale-out approach
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