Feature scoring using tree-based ensembles for evolving data streams (2019)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BigData47090.2019.9006366
- Subjects: APRENDIZADO COMPUTACIONAL; ANÁLISE DE SÉRIES TEMPORAIS
- Keywords: data streams; feature score; supervised learning; model interpretation
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2019
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Big Data - Big Data
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GOMES, Heitor Murilo et al. Feature scoring using tree-based ensembles for evolving data streams. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/BigData47090.2019.9006366. Acesso em: 03 jan. 2026. -
APA
Gomes, H. M., Mello, R. F. de, Pfahringer, B., & Bifet, A. (2019). Feature scoring using tree-based ensembles for evolving data streams. In Proceedings. Los Alamitos: IEEE. doi:10.1109/BigData47090.2019.9006366 -
NLM
Gomes HM, Mello RF de, Pfahringer B, Bifet A. Feature scoring using tree-based ensembles for evolving data streams [Internet]. Proceedings. 2019 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/BigData47090.2019.9006366 -
Vancouver
Gomes HM, Mello RF de, Pfahringer B, Bifet A. Feature scoring using tree-based ensembles for evolving data streams [Internet]. Proceedings. 2019 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/BigData47090.2019.9006366 - Caracterização de comportamento de sistemas por meio de agrupamento de dados e detecção de novidades
- Genetic algorithms applied to organize wirelless sensor networks aiming good coverage and redundancy
- Supporting the transparent execution of high performance applications on grids
- An online data access prediction and optimization approach for distributed systems
- Model for simulation of heterogeneous high-performance computing environments
- High performance computing on grids
- Toward an efficient middleware for multithreaded applications in computational grid
- On simulated annealing for the scheduling of parallel applications
- A systematic literature review on decomposition approaches to estimate time series components
- Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization
Informações sobre o DOI: 10.1109/BigData47090.2019.9006366 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
