ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers (2025)
- Authors:
- Autor USP: CERRI, RICARDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10618-025-01124-4
- Subjects: APRENDIZADO COMPUTACIONAL; ANÁLISE DE SÉRIES TEMPORAIS; FRAMEWORKS
- Keywords: Data stream; Concept drift; Concept evolution; Active learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Data Mining and Knowledge Discovery
- ISSN: 1384-5810
- Volume/Número/Paginação/Ano: v. 39, n. 5, p. 1-35, Sept. 2025
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
CAVALCANTI, Douglas Monteiro e CERRI, Ricardo e FARIA, Elaine Ribeiro. ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers. Data Mining and Knowledge Discovery, v. 39, n. 5, p. 1-35, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10618-025-01124-4. Acesso em: 14 abr. 2026. -
APA
Cavalcanti, D. M., Cerri, R., & Faria, E. R. (2025). ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers. Data Mining and Knowledge Discovery, 39( 5), 1-35. doi:10.1007/s10618-025-01124-4 -
NLM
Cavalcanti DM, Cerri R, Faria ER. ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers [Internet]. Data Mining and Knowledge Discovery. 2025 ; 39( 5): 1-35.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1007/s10618-025-01124-4 -
Vancouver
Cavalcanti DM, Cerri R, Faria ER. ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers [Internet]. Data Mining and Knowledge Discovery. 2025 ; 39( 5): 1-35.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1007/s10618-025-01124-4 - Ensemble methods for selecting single nucleotide polymorphisms associated to rice phenotypes
- Data stream mining to predict recommended actions for firewall network traffic
- Growing self-organizing maps for multi-label classification
- Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease
- Semi-supervised predictive clustering trees for multi-label protein subcellular localization
- Multi-label classification with label clusters
- Ensemble multi-label classification using closed frequent labelsets and label taxonomies
- Growing self-organizing maps for firewall log classification in data streams
- Sistema de alerta de risco de incêndio no Pantanal com previsão até 3 dias futuros
- Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3261574.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
