A complexity-invariant distance measure for time series (2011)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Society for Industrial and Applied Mathematics - SIAM
- Publisher place: Philadelphia, PA
- Date published: 2011
- ISBN: 9780898719925
- Source:
- Título: Proceedings
- Conference titles: SIAM International Conference on Data Mining
-
ABNT
BATISTA, Gustavo Enrique de Almeida Prado Alves e WANG, Xiaoyue e KEOGH, Eamonn J. A complexity-invariant distance measure for time series. 2011, Anais.. Philadelphia, PA: Society for Industrial and Applied Mathematics - SIAM, 2011. . Acesso em: 24 fev. 2026. -
APA
Batista, G. E. de A. P. A., Wang, X., & Keogh, E. J. (2011). A complexity-invariant distance measure for time series. In Proceedings. Philadelphia, PA: Society for Industrial and Applied Mathematics - SIAM. -
NLM
Batista GE de APA, Wang X, Keogh EJ. A complexity-invariant distance measure for time series. Proceedings. 2011 ;[citado 2026 fev. 24 ] -
Vancouver
Batista GE de APA, Wang X, Keogh EJ. A complexity-invariant distance measure for time series. Proceedings. 2011 ;[citado 2026 fev. 24 ] - Time series classification with motifs and characteristics
- Uma avaliação sobre a identificação de Motifs em séries temporais
- A fuzzy classifier for data streams with infinitely delayed labels
- Fast unsupervised online drift detection using incremental Kolmogorov-Smirnov test
- A complexity-invariant measure based on fractal dimension for time series classification
- Towards automatic classification on flying insects using inexpensive sensors
- Data mining a trillion time series subsequences under dynamic time warping
- Distância invariante à complexidade baseada em dimensão fractal para classificação de séries temporais
- Unsupervised context switch for classification tasks on data streams with recurrent concepts
- On the need of class ratio insensitive drift tests for data streams
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