Tracking the intrinsic dimension of evolving data streams to update association rules (2006)
- Authors:
- USP affiliated authors: SOUSA, ELAINE PARROS MACHADO DE - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; JUNIOR, CAETANO TRAINA - ICMC
- Unidade: ICMC
- Assunto: BANCO DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: ICML
- Publisher place: Pittsburg, CA
- Date published: 2006
- Source:
- Título: Proceedings
- Conference titles: International Workshop on Knowledge Discovery from Data Streams
-
ABNT
SOUSA, Elaine Parros Machado de et al. Tracking the intrinsic dimension of evolving data streams to update association rules. 2006, Anais.. Pittsburg, CA: ICML, 2006. . Acesso em: 21 jan. 2026. -
APA
Sousa, E. P. M. de, Ribeiro, M. X., Traina, A. J. M., & Traina Junior, C. (2006). Tracking the intrinsic dimension of evolving data streams to update association rules. In Proceedings. Pittsburg, CA: ICML. -
NLM
Sousa EPM de, Ribeiro MX, Traina AJM, Traina Junior C. Tracking the intrinsic dimension of evolving data streams to update association rules. Proceedings. 2006 ;[citado 2026 jan. 21 ] -
Vancouver
Sousa EPM de, Ribeiro MX, Traina AJM, Traina Junior C. Tracking the intrinsic dimension of evolving data streams to update association rules. Proceedings. 2006 ;[citado 2026 jan. 21 ] - SID: calculating the intrinsic dimension of data streams
- ClimFractal Analyser: um ambiente de análise de séries temporais climáticas baseado em workflows
- Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives
- Aplicação de método baseado em fractais para detecção de correlações entre imagens AVHRR-NOAA e dados agroclimáticos em regiões produtoras de cana-de-açúcar
- Employing fractal dimension to analyse climate and remote sensing data streams
- Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops
- Fractal-based analysis to identify trend changes in multiple climate time series
- Mining climate and remote sensing time series to improve monitoring of sugar cane fields
- Measuring evolving data streams' behavior through their intrinsic dimension
- A fast and effective method to find correlations among attributes in databases
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
