Unsupervised change detection in data streams: an application in music analysis (2015)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/s13748-015-0063-z
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE; APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2015
- Source:
- Título: Progress in Artificial Intelligence
- ISSN: 2192-6352
- Volume/Número/Paginação/Ano: v. 4, n. 1, p. 1-10, Dec. 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VALLIM, Rosane M. M e MELLO, Rodrigo Fernandes de. Unsupervised change detection in data streams: an application in music analysis. Progress in Artificial Intelligence, v. 4, n. 1, p. 1-10, 2015Tradução . . Disponível em: https://doi.org/10.1007/s13748-015-0063-z. Acesso em: 18 jan. 2026. -
APA
Vallim, R. M. M., & Mello, R. F. de. (2015). Unsupervised change detection in data streams: an application in music analysis. Progress in Artificial Intelligence, 4( 1), 1-10. doi:10.1007/s13748-015-0063-z -
NLM
Vallim RMM, Mello RF de. Unsupervised change detection in data streams: an application in music analysis [Internet]. Progress in Artificial Intelligence. 2015 ; 4( 1): 1-10.[citado 2026 jan. 18 ] Available from: https://doi.org/10.1007/s13748-015-0063-z -
Vancouver
Vallim RMM, Mello RF de. Unsupervised change detection in data streams: an application in music analysis [Internet]. Progress in Artificial Intelligence. 2015 ; 4( 1): 1-10.[citado 2026 jan. 18 ] Available from: https://doi.org/10.1007/s13748-015-0063-z - A stable and online approach to detect concept drift in data streams
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Informações sobre o DOI: 10.1007/s13748-015-0063-z (Fonte: oaDOI API)
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