'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams (2016)
Source: Proceedings. Conference titles: SIAM International Conference on Data Mining - SDM. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, CLIMA
ABNT
SILVA, Afonso E. da et al. 'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams. 2016, Anais.. Philadelphia: SIAM, 2016. Disponível em: https://doi.org/10.1137/1.9781611974348.40. Acesso em: 16 out. 2024.APA
Silva, A. E. da, Sanches, L. L., Fraideinberze, A. C., & Cordeiro, R. L. F. (2016). 'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams. In Proceedings. Philadelphia: SIAM. doi:10.1137/1.9781611974348.40NLM
Silva AE da, Sanches LL, Fraideinberze AC, Cordeiro RLF. 'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams [Internet]. Proceedings. 2016 ;[citado 2024 out. 16 ] Available from: https://doi.org/10.1137/1.9781611974348.40Vancouver
Silva AE da, Sanches LL, Fraideinberze AC, Cordeiro RLF. 'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams [Internet]. Proceedings. 2016 ;[citado 2024 out. 16 ] Available from: https://doi.org/10.1137/1.9781611974348.40