Zobrazeno 1 - 4
of 4
pro vyhledávání: '"G. S. Terra"'
Autor:
Assed Naked Haddad, Nelson F. F. Ebecken, Gustavo Saad Terra, G. S. Terra, Paulo Marcos da Costa Duarte
Publikováno v:
Revista Vértices. 6:91-113
This study presents the fundamentals of a specialist system applied to the selection of real estate developments using as methodology the extraction of knowledge from specialists and a databank. We selected the most relevant parameters when choosing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ce97ebf4680573b8f2e3e082b2a895
https://doi.org/10.5935/1809-2667.20040005
https://doi.org/10.5935/1809-2667.20040005
Autor:
Alexandre G. Evsukoff, Marta Mattoso, G. S. Terra, Gerson Zaverucha, Nelson F. F. Ebecken, Fernanda Araujo Baião, Myriam Costa
Publikováno v:
iSys - Brazilian Journal of Information Systems. 1
Our work addresses a variety of inter-related issues with a focus on providing tools for efficiently processing data in mining tasks. We investigate mechanisms to efficiently access high volumes of data, as well as issues on parallel processing of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e61a6cb4f8057bf8f9697544e1c75a
https://doi.org/10.5753/isys.2008.115
https://doi.org/10.5753/isys.2008.115
Autor:
M. T. Okamoto, Nelson F. F. Ebecken, A. G. Evsukoff, Â. M. Cister, A. dos Santos Rigueira, G. M. Tavares, F. T. de Souza, M. A. F. Zarur, M. R. Maia, K. de Oliveira Gonçalves Veloso, G. S. Terra
Publikováno v:
Data Mining VII: Data, Text and Web Mining and their Business Applications.
Load forecasting is an important subject for power distribution systems and has been studied comparing different points of view. In general, load forecasts should be performed over a broad spectrum of time intervals, which could be classified into sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc33891d3a96e065bd1be6781afde6e
https://doi.org/10.2495/data060341
https://doi.org/10.2495/data060341
Autor:
Raissa Maria Cotta Ferreira Da Silva, Ricardo Almeida Barbosa de Sá, G. S. Terra, Nelson F. F. Ebecken, Alexandre G. Evsukoff
Publikováno v:
SAE Technical Paper Series.
In the present work, data mining techniques are used to model the non trivial relationships between properties that characterize the fuels, engine technologies and car emissions. Using models to predict car emissions from fuel properties and technolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d8ebec4ded31a1114b2d4aaae6bd6dc
https://doi.org/10.4271/2005-01-2184
https://doi.org/10.4271/2005-01-2184