A stable and online approach to detect concept drift in data streams (2014)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2014.66
- Subjects: APRENDIZADO COMPUTACIONAL; PROGRAMAÇÃO CONCORRENTE; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: Conference Publishing Services
- Publisher place: Los Alamitos
- Date published: 2014
- ISBN: 9781479956180
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COSTA, Fausto Guzzo da e MELLO, Rodrigo Fernandes de. A stable and online approach to detect concept drift in data streams. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.66. Acesso em: 10 fev. 2026. -
APA
Costa, F. G. da, & Mello, R. F. de. (2014). A stable and online approach to detect concept drift in data streams. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.66 -
NLM
Costa FG da, Mello RF de. A stable and online approach to detect concept drift in data streams [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/BRACIS.2014.66 -
Vancouver
Costa FG da, Mello RF de. A stable and online approach to detect concept drift in data streams [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/BRACIS.2014.66 - A novel approach to quantify novelty levels applied on ubiquitous music distribution
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Informações sobre o DOI: 10.1109/BRACIS.2014.66 (Fonte: oaDOI API)
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