Concept drift detection on social network data using cross-recurrence quantification analysis (2018)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1063/1.5024241
- Subjects: APRENDIZADO COMPUTACIONAL; ANÁLISE DE SÉRIES TEMPORAIS; MÍDIAS SOCIAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 28 jan. 2026. -
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 2026 jan. 28 ] 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 2026 jan. 28 ] Available from: https://doi.org/10.1063/1.5024241 - Improving performance of information quality applications: a scale-out approach
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Informações sobre o DOI: 10.1063/1.5024241 (Fonte: oaDOI API)
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