Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Breno F. Zanchetta"'
Autor:
Paulo Ricardo Rodrigues De Souza, Kassiano J. Matteussi, Alexandre Da Silva Veith, Breno F. Zanchetta, Valderi R. Q. Leithardt, Alvaro L. Murciego, Edison Pignaton De Freitas, Julio C. S. Dos Anjos, Claudio F. R. Geyer
Publikováno v:
IEEE Access, Vol 8, Pp 219124-219136 (2020)
The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing and analytic in recent years, leading to new challenges to handle Big Data i
Externí odkaz:
https://doaj.org/article/d3ee8a656ada49cc811106103bcdbf77
Autor:
Valderi Reis Quietinho Leithardt, Alexandre da Silva Veith, Kassiano J. Matteussi, Breno F. Zanchetta, Paulo R. R. De Souza, Julio C. S. dos Anjos, Álvaro Lozano Murciego, Edison Pignaton de Freitas, Cláudio F. R. Geyer
Publikováno v:
IEEE Access, Vol 8, Pp 219124-219136 (2020)
The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing and analytic in recent years, leading to new challenges to handle Big Data i
Autor:
Kassiano J. Matteussi, Jobe D. D. Dos Santos, Germano Bertoncello, Cláudio F. R. Geyer, Julio C. S. dos Anjos, Breno F. Zanchetta
Publikováno v:
ISCC
Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that merges the dynamic processing in DL models with the computational power of the distributed processing of the BD frameworks. In this context, this work aims to con