A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets (2012)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: SIAM
- Publisher place: Philadelphia
- Date published: 2012
- ISBN: 9781611972320
- Source:
- Título do periódico: Proceedings
- Conference titles: SIAM International Conference on Data Mining
-
ABNT
QIANG, Zhu et al. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets. 2012, Anais.. Philadelphia: SIAM, 2012. Disponível em: http://siam.omnibooksonline.com/2012datamining/. Acesso em: 24 abr. 2024. -
APA
Qiang, Z., Batista, G. E. de A. P. A., Rakthanmanon, T., & Keogh, E. (2012). A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets. In Proceedings. Philadelphia: SIAM. Recuperado de http://siam.omnibooksonline.com/2012datamining/ -
NLM
Qiang Z, Batista GE de APA, Rakthanmanon T, Keogh E. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets [Internet]. Proceedings. 2012 ;[citado 2024 abr. 24 ] Available from: http://siam.omnibooksonline.com/2012datamining/ -
Vancouver
Qiang Z, Batista GE de APA, Rakthanmanon T, Keogh E. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets [Internet]. Proceedings. 2012 ;[citado 2024 abr. 24 ] Available from: http://siam.omnibooksonline.com/2012datamining/ - Pré-processamento de dados em aprendizado de máquina supervisionado
- Uma avaliação sobre a identificação de Motifs em séries temporais
- Evaluating ranking composition methods for multi-objective optimization of knowledge rules
- How k-nearest neighbor parameters affect its performance
- Class imbalance revisited: a new experimental setup to assess the performance of treatment methods
- Music shapelets for fast cover song regognition
- A complexity-invariant measure based on fractal dimension for time series classification
- A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English
- Avaliação de classificadores para o reconhecimento automático de insetos
- A fuzzy classifier for data streams with infinitely delayed labels
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
