Anomaly detection in sequential data: principles and case studies (2019)
Source: Wiley Encyclopedia of Electrical and Electronics Engineering. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
ABNT
ANDRADE, Thiago et al. Anomaly detection in sequential data: principles and case studies. Wiley Encyclopedia of Electrical and Electronics Engineering. Tradução . Wiley: Hoboken, 2019. . Disponível em: https://doi.org/10.1002/047134608X.W8382. Acesso em: 30 ago. 2024.APA
Andrade, T., Gama, J., Sousa, W., & Carvalho, A. C. P. de L. F. de. (2019). Anomaly detection in sequential data: principles and case studies. In Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley: Hoboken. doi:10.1002/047134608X.W8382NLM
Andrade T, Gama J, Sousa W, Carvalho ACP de LF de. Anomaly detection in sequential data: principles and case studies [Internet]. In: Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley: Hoboken; 2019. [citado 2024 ago. 30 ] Available from: https://doi.org/10.1002/047134608X.W8382Vancouver
Andrade T, Gama J, Sousa W, Carvalho ACP de LF de. Anomaly detection in sequential data: principles and case studies [Internet]. In: Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley: Hoboken; 2019. [citado 2024 ago. 30 ] Available from: https://doi.org/10.1002/047134608X.W8382