Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization (2012)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- Subjects: PROGRAMAÇÃO CONCORRENTE; SISTEMAS DISTRIBUÍDOS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: INFOCOMP : Journal of Computer Science
- ISSN: 1807-4545
- Volume/Número/Paginação/Ano: v. 11, n. 3-4, p. 23-30, set.-dez. 2012
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ABNT
ALBERTINI, Marcelo Keese e STOJMENOVIC, Ivan e MELLO, Rodrigo Fernandes de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization. INFOCOMP : Journal of Computer Science, v. 11, n. 3-4, p. 23-30, 2012Tradução . . Disponível em: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf. Acesso em: 18 abr. 2024. -
APA
Albertini, M. K., Stojmenovic, I., & Mello, R. F. de. (2012). Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization. INFOCOMP : Journal of Computer Science, 11( 3-4), 23-30. Recuperado de http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf -
NLM
Albertini MK, Stojmenovic I, Mello RF de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization [Internet]. INFOCOMP : Journal of Computer Science. 2012 ; 11( 3-4): 23-30.[citado 2024 abr. 18 ] Available from: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf -
Vancouver
Albertini MK, Stojmenovic I, Mello RF de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization [Internet]. INFOCOMP : Journal of Computer Science. 2012 ; 11( 3-4): 23-30.[citado 2024 abr. 18 ] Available from: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf - Caracterização de comportamento de sistemas por meio de agrupamento de dados e detecção de novidades
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