Data stream classification guided by clustering on nonstationary environments and extreme verification latency (2015)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1137/1.9781611974010.98
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: SIAM
- Publisher place: Philadelphia
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: SIAM International Conference on Data Mining - SDM
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
SOUZA, Vinícius M. A et al. Data stream classification guided by clustering on nonstationary environments and extreme verification latency. 2015, Anais.. Philadelphia: SIAM, 2015. Disponível em: https://doi.org/10.1137/1.9781611974010.98. Acesso em: 02 out. 2024. -
APA
Souza, V. M. A., Silva, D. F., Gama, J., & Batista, G. E. de A. P. A. (2015). Data stream classification guided by clustering on nonstationary environments and extreme verification latency. In Proceedings. Philadelphia: SIAM. doi:10.1137/1.9781611974010.98 -
NLM
Souza VMA, Silva DF, Gama J, Batista GE de APA. Data stream classification guided by clustering on nonstationary environments and extreme verification latency [Internet]. Proceedings. 2015 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1137/1.9781611974010.98 -
Vancouver
Souza VMA, Silva DF, Gama J, Batista GE de APA. Data stream classification guided by clustering on nonstationary environments and extreme verification latency [Internet]. Proceedings. 2015 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1137/1.9781611974010.98 - Uma avaliação sobre a identificação de Motifs em séries temporais
- Evaluating ranking composition methods for multi-objective optimization of knowledge rules
- A complexity-invariant measure based on fractal dimension for time series classification
- A fuzzy classifier for data streams with infinitely delayed labels
- Unsupervised context switch for classification tasks on data streams with recurrent concepts
- Evaluating stream classifiers with delayed labels information
- How k-nearest neighbor parameters affect its performance
- Avaliação de classificadores para o reconhecimento automático de insetos
- A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English
- Prefix and suffix invariant dynamic time warping
Informações sobre o DOI: 10.1137/1.9781611974010.98 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
