Multidimensional surrogate stability to detect data stream concept drift (2017)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2017.06.005
- Subjects: PROGRAMAÇÃO CONCORRENTE; SISTEMAS DISTRIBUÍDOS; ANÁLISE DE SÉRIES TEMPORAIS
- Keywords: Data streams; Concept drift; Multidimensional; Surrogate data
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2017
- Source:
- Título: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 87, p. 15-29, Nov. 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COSTA, Fausto G. da et al. Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, v. No 2017, p. 15-29, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.06.005. Acesso em: 26 jan. 2026. -
APA
Costa, F. G. da, Duarte, F. S. L. G., Vallim, R. M. M., & Mello, R. F. de. (2017). Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, No 2017, 15-29. doi:10.1016/j.eswa.2017.06.005 -
NLM
Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005 -
Vancouver
Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005 - Improving performance of information quality applications: a scale-out approach
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Informações sobre o DOI: 10.1016/j.eswa.2017.06.005 (Fonte: oaDOI API)
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