Possibilistic approach for novelty detection in data streams (2020)
Source: Proceedings. Conference titles: IEEE International Conference on Fuzzy Systems - FUZZ-IEEE. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
ABNT
SILVA, Tiago Pinho da e CAMARGO, Heloisa de Arruda. Possibilistic approach for novelty detection in data streams. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/FUZZ48607.2020.9177582. Acesso em: 30 set. 2024.APA
Silva, T. P. da, & Camargo, H. de A. (2020). Possibilistic approach for novelty detection in data streams. In Proceedings. Piscataway: IEEE. doi:10.1109/FUZZ48607.2020.9177582NLM
Silva TP da, Camargo H de A. Possibilistic approach for novelty detection in data streams [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177582Vancouver
Silva TP da, Camargo H de A. Possibilistic approach for novelty detection in data streams [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177582