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of 3
pro vyhledávání: '"Giovanni Gravito de Carvalho Chrysostomo"'
Autor:
Giovanni Gravito de Carvalho Chrysostomo, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Leandro A. Silva, Arnaldo Rabello de Aguiar Vallim Filho
Publikováno v:
Energies, Vol 13, Iss 22, p 6014 (2020)
This paper presents an application of a framework for Big Data Analytical Process and Mapping—BAProM—consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceived as a decision s
Externí odkaz:
https://doaj.org/article/2d5ec9312bb441a0af462baf1a04d268
Autor:
Leandro Augusto da Silva, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Giovanni Gravito de Carvalho Chrysostomo, Arnaldo Rabello de Aguiar Vallim Filho
Publikováno v:
Energies, Vol 13, Iss 6014, p 6014 (2020)
Energies
Volume 13
Issue 22
Energies
Volume 13
Issue 22
This paper presents an application of a framework for Big Data Analytical Process and Mapping&mdash
BAProM&mdash
consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceiv
BAProM&mdash
consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c000eae90eb0fcd08ba3fb129edd635
https://www.mdpi.com/1996-1073/13/22/6014
https://www.mdpi.com/1996-1073/13/22/6014
Autor:
Leandro Augusto da Silva, Marco Vinicius Bhering de Aguiar Vallim, Giovanni Gravito de Carvalho Chrysostomo, Arnaldo Rabello de Aguiar Vallim Filho
Publikováno v:
CLEI
This work proposes a framework called Analytical workbench that aims to support the decision making of power generation systems. The framework is structured in three modules. An operational module which receives operating data and prepares it for ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0463069e48c020e4981b755c61acf5f5
https://doi.org/10.1109/clei52000.2020.00039
https://doi.org/10.1109/clei52000.2020.00039