Subjects: MINERAÇÃO DE DADOS, FRACTAIS, BIG DATA
ABNT
OLIVEIRA, Jadson Jose Monteiro. Unsupervised Dimensionality Reduction in Big Data via Massive Parallel Processing with MapReduce and Resilient Distributed Datasets. 2020. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20012021-125711/. Acesso em: 16 out. 2024.APA
Oliveira, J. J. M. (2020). Unsupervised Dimensionality Reduction in Big Data via Massive Parallel Processing with MapReduce and Resilient Distributed Datasets (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20012021-125711/NLM
Oliveira JJM. Unsupervised Dimensionality Reduction in Big Data via Massive Parallel Processing with MapReduce and Resilient Distributed Datasets [Internet]. 2020 ;[citado 2024 out. 16 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20012021-125711/Vancouver
Oliveira JJM. Unsupervised Dimensionality Reduction in Big Data via Massive Parallel Processing with MapReduce and Resilient Distributed Datasets [Internet]. 2020 ;[citado 2024 out. 16 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-20012021-125711/