Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Wellington Santos Martins"'
Autor:
Sávio Salvarino Teles de Oliveira, Marcelo de Castro Cardoso, Wisllay dos Santos, Paulo Costa, Vagner José do Sacramento Rodrigues, Wellington Santos Martins
Publikováno v:
Revista Brasileira de Cartografia, Vol 69, Iss 5 (2017)
Time series analysis of remote sensing images are indispensable in identifying patterns, trends and changes, and allows the modeling and prediction of events on Earth's surface. For applications with large volumes of data, this analysis should be don
Externí odkaz:
https://doaj.org/article/ca2d89961de746a08e32de74e4e9ae00
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783031304415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9935b2ed9367903044c8cecd80c11335
https://doi.org/10.1007/978-3-031-30442-2_7
https://doi.org/10.1007/978-3-031-30442-2_7
Publikováno v:
Anais da X Escola Regional de Informática de Goiás (ERI-GO 2022).
Junções por similaridade de conjuntos são operações de grande importância nos sistemas modernos de bancos de dados, especialmente para os chamados armazens de dados, onde várias operações rotineiras como integração, limpeza e mineração d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d001ecf6834f9383da786f09883b9eb0
https://doi.org/10.5753/erigo.2022.227677
https://doi.org/10.5753/erigo.2022.227677
Publikováno v:
Anais da X Escola Regional de Informática de Goiás (ERI-GO 2022).
Dados de aplicações possuem inevitavelmente inconsistências que podem causar mal funcionamento em operações rotineiras e compromenter resultados analíticos. Um tipo particular de inconsistência é a presença de duplicatas, isto é, múltiplas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b775e4120789c764e7415c7e2f4aeba4
https://doi.org/10.5753/erigo.2022.227704
https://doi.org/10.5753/erigo.2022.227704
Autor:
Sávio Salvarino Teles de Oliveira, Wellington Santos Martins, Leandro Parente, Roberto U. Paiva, Luiz Mario L. Pascoal
Publikováno v:
Journal of Information and Data Management. 12
The increase in satellite launches into Earth's orbit in recent years has generated a huge amount of remote sensing data. These data, in the form of time series, have been used in automated classification approaches, generating land-use and land-cove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3e1f617e441e516fd145a361d3e8116
https://doi.org/10.5753/jidm.2021.1785
https://doi.org/10.5753/jidm.2021.1785
Autor:
Vagner J. do Sacramento Rodrigues, Wellington Santos Martins, Sávio Salvarino Teles de Oliveira
Publikováno v:
Journal of Information and Data Management. 12
Spatiotemporal data has always been big data. In these days, big data analytics for spatiotemporal data is receiving considerable attention to allow users to analyze huge amounts of data. Traditional big data platforms cannot handle all the challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0cc52ed52f388c7140826dfd81f9b3c
https://doi.org/10.5753/jidm.2021.1951
https://doi.org/10.5753/jidm.2021.1951
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4400e997e7c352b6b288300424191994
https://doi.org/10.1002/cpe.6526
https://doi.org/10.1002/cpe.6526
Autor:
Wellington Santos Martins, Marcos André Gonçalves, Sergio Canuto, Daniel Xavier de Sousa, Thierson Couto Rosa
Publikováno v:
ACM Transactions on Information Systems. 37:1-34
Learning to Rank (L2R) is one of the main research lines in Information Retrieval. Risk-sensitive L2R is a sub-area of L2R that tries to learn models that are good on average while at the same time reducing the risk of performing poorly in a few but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc1af147aa6c5dd0b8e092f038f0dcbb
https://doi.org/10.1145/3300196
https://doi.org/10.1145/3300196
Autor:
Luiz Felipe Mendes, Wellington Santos Martins, Marcos André Gonçalves, Washington Cunha, Thierson Couto-Rosa, Leonardo Rocha
Publikováno v:
CIKM
Recent advances in text-related tasks on the Web, such as text (topic) classification and sentiment analysis, have been made possible by exploiting mostly the "rule of more": more data (massive amounts) more computing power, more complex solutions. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbbb814added6afc8f38e53984b5583
https://doi.org/10.1145/3340531.3412180
https://doi.org/10.1145/3340531.3412180
Autor:
Sávio Salvarino Teles de Oliveira, Wellington Santos Martins, Vagner J. do Sacramento Rodrigues
Publikováno v:
SBBD
Com o aumento do volume de dados de séries temporais na era de Big Data, a filtragem e recuperação eficiente de um grande volume de dados, utilizados como entrada no processamento de séries temporais, são uns dos maiores desafios da área. Diver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9989cbed7734a99b37d39cd7184bfc2
https://doi.org/10.5753/sbbd.2020.13627
https://doi.org/10.5753/sbbd.2020.13627