Ensembles for unsupervised outlier detection: challenges and research questions (2013)
- Authors:
- Autor USP: CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: SIGKDD Explorations
- ISSN: 1931-0145
- Volume/Número/Paginação/Ano: v. 15, n. 1, p. 11-22, jun. 2013
-
ABNT
ZIMEK, Arthur e CAMPELLO, Ricardo José Gabrielli Barreto e SANDER, Jörg. Ensembles for unsupervised outlier detection: challenges and research questions. SIGKDD Explorations, v. 15, n. ju 2013, p. 11-22, 2013Tradução . . Disponível em: http://www.kdd.org/newsletter/explorations-june-2013-15-1. Acesso em: 15 mar. 2026. -
APA
Zimek, A., Campello, R. J. G. B., & Sander, J. (2013). Ensembles for unsupervised outlier detection: challenges and research questions. SIGKDD Explorations, 15( ju 2013), 11-22. Recuperado de http://www.kdd.org/newsletter/explorations-june-2013-15-1 -
NLM
Zimek A, Campello RJGB, Sander J. Ensembles for unsupervised outlier detection: challenges and research questions [Internet]. SIGKDD Explorations. 2013 ; 15( ju 2013): 11-22.[citado 2026 mar. 15 ] Available from: http://www.kdd.org/newsletter/explorations-june-2013-15-1 -
Vancouver
Zimek A, Campello RJGB, Sander J. Ensembles for unsupervised outlier detection: challenges and research questions [Internet]. SIGKDD Explorations. 2013 ; 15( ju 2013): 11-22.[citado 2026 mar. 15 ] Available from: http://www.kdd.org/newsletter/explorations-june-2013-15-1 - Similarity measures for comparing biclusterings
- Density-based clustering validation
- Relative validity criteria for community mining algorithms
- Active learning strategies for semi-supervised DBSCAN
- On the evaluation of outlier detection and one-class classification methods
- An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part II: non-linear models
- Evaluating correlation coefficients for clustering gene expression profiles of cancer
- A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data
- Exact search directions for optimization of linear and nonlinear models based on generalized orthonormal functions
- A cluster based hybrid feature selection approach
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas