Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Alberto H. F. Laender"'
Publikováno v:
Journal of Internet Services and Applications, Vol 11, Iss 1, Pp 1-13 (2020)
Abstract Cloud computing is a general term that involves delivering hosted services over the Internet. With the accelerated growth of the volume of data used by applications, many organizations have moved their data into cloud servers to provide scal
Externí odkaz:
https://doaj.org/article/dbb1b2e283e64f06b427113df1115fd2
Publikováno v:
Journal of Internet Services and Applications, Vol 9, Iss 1, Pp 1-17 (2018)
Abstract Tie strength allows to classify social relationships and identify different types of them. For instance, social relationships can be classified as persistent and similar based respectively on the regularity with which they occur and the simi
Externí odkaz:
https://doaj.org/article/b6279e84163a4a0485e7d01145c02033
Autor:
Lucas Henrique Costa de Lima, Gustavo Penha, Laís Mota de Alencar Rocha, Mirella M. Moro, Ana Paula Couto da Silva, Alberto H. F. Laender, José Palazzo M. de Oliveira
Publikováno v:
Journal of the Brazilian Computer Society, Vol 23, Iss 1, Pp 1-16 (2017)
Abstract The Brazilian Symposium on Databases (SBBD) celebrated its 30th edition in October 2015. As the database community has evolved over the years, so has the data analysis area. To celebrate such accomplishments, this article goes over the SBBD
Externí odkaz:
https://doaj.org/article/308f5fb855c642859c53f4821c45ebbe
Publikováno v:
Scientometrics. 128:2945-2974
Publikováno v:
Journal of the Brazilian Computer Society. 28:1-12
Interdisciplinary collaborations have recently attracted the attention of scholars, since they help bridging academic relationships and contribute to make scientific collaboration networks even stronger. However, previous works on this subject have m
Autor:
Marcos Carvalho, Vitor Mangaravite, Lucas M. Ponce, Luis Cantelli, Bruno Campoi, Gabriel Nunes, Bruno Barbosa Miranda de Paiva, Alberto H. F. Laender, Marcos Andre Goncalves
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Vitor Mangaravite, Marcos Carvalho, Luiz Cantelli, Lucas M. Ponce, Bruno Campoi, Gabriel Nunes, Alberto H. F. Laender, Marcos André Gonçalves
Publikováno v:
Anais do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD 2022).
Deduplicação de registros (DR) tem como objetivo identificar instâncias que representam a mesma entidade do mundo real em repositórios de dados. No ambiente governamental, o processo de DR facilita a identificação de irregularidades e reduz o c
Autor:
Kattiana Constantino, Victor Augusto L. Cruz, Otávio M. M. Zucheratto, Celso França, Marcos Carvalho, Thiago H. P. Silva, Alberto H. F. Laender, Marcos André Gonçalves
Publikováno v:
Anais do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD 2022).
Acesso irrestrito e monitorável a leis e regulamentações é pressuposto essencial da democracia. Isso permite, por exemplo, a detecção de ilícitos e o monitoramento de fraudes em ações públicas (e.g., licitações). Contudo, cada ente federa
Autor:
Fabiano Muniz Belém, Marcelo Ganem, Celso França, Marcos Carvalho, Alberto H. F. Laender, Marcos André Gonçalves
Publikováno v:
Anais do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD 2022).
Arquiteturas neurais baseadas em transformers tornaram-se o principal componente de vários métodos do estado-da-arte em tarefas de processamento de linguagem natural, tais como Reconhecimento de Entidades Nomeadas e Extração de Relações (REN+ER
Autor:
Alberto H. F. Laender, Geraldo J. Pessoa Junior, Thiago H. P. Silva, Thiago Magela Rodrigues Dias
Publikováno v:
Scientometrics. 124:2341-2360
Interdisciplinary collaborations have recently drawn the attention of scholars, since bridging academic relationships contributes to make scientific coauthorship networks stronger. However, previous studies have focused on characterizing specific gro