StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices (2015)
- Authors:
- USP affiliated authors: CORDEIRO, ROBSON LEONARDO FERREIRA - ICMC ; RODRIGUES JUNIOR, JOSÉ FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICDMW.2015.205
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; ALGORITMOS PARA IMAGENS; BANCO DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Volume/Número/Paginação/Ano: 2015
- Conference titles: International Conference on Data Mining Workshops - ICDMW
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
GUALDRON, Hugo e CORDEIRO, Robson Leonardo Ferreira e RODRIGUES JUNIOR, José Fernando. StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices. 2015, Anais.. Los Alamitos: IEEE, 2015. Disponível em: https://doi.org/10.1109/ICDMW.2015.205. Acesso em: 10 maio 2024. -
APA
Gualdron, H., Cordeiro, R. L. F., & Rodrigues Junior, J. F. (2015). StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW.2015.205 -
NLM
Gualdron H, Cordeiro RLF, Rodrigues Junior JF. StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices [Internet]. Proceedings. 2015 ;[citado 2024 maio 10 ] Available from: https://doi.org/10.1109/ICDMW.2015.205 -
Vancouver
Gualdron H, Cordeiro RLF, Rodrigues Junior JF. StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices [Internet]. Proceedings. 2015 ;[citado 2024 maio 10 ] Available from: https://doi.org/10.1109/ICDMW.2015.205 - Effective and unsupervised fractal-based feature selection for very large datasets: removing linear and non-linear attribute correlations
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Informações sobre o DOI: 10.1109/ICDMW.2015.205 (Fonte: oaDOI API)
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