A complexity-invariant measure based on fractal dimension for time series classification (2012)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: International Journal of Natural Computing Research
- ISSN: 1947-928X
- Volume/Número/Paginação/Ano: v. 3, n. 3, p. 59-73, jul.-set. 2012
-
ABNT
PRATI, Ronaldo C e BATISTA, Gustavo Enrique de Almeida Prado Alves. A complexity-invariant measure based on fractal dimension for time series classification. International Journal of Natural Computing Research, v. 3, n. 3, p. 59-73, 2012Tradução . . Acesso em: 19 mar. 2024. -
APA
Prati, R. C., & Batista, G. E. de A. P. A. (2012). A complexity-invariant measure based on fractal dimension for time series classification. International Journal of Natural Computing Research, 3( 3), 59-73. -
NLM
Prati RC, Batista GE de APA. A complexity-invariant measure based on fractal dimension for time series classification. International Journal of Natural Computing Research. 2012 ; 3( 3): 59-73.[citado 2024 mar. 19 ] -
Vancouver
Prati RC, Batista GE de APA. A complexity-invariant measure based on fractal dimension for time series classification. International Journal of Natural Computing Research. 2012 ; 3( 3): 59-73.[citado 2024 mar. 19 ] - 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 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
- Unsupervised context switch for classification tasks on data streams with recurrent concepts
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas