Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rodrigo Costa Mateus"'
Autor:
Cristina Dutra de Aguiar Ciferri, Thiago Luís Lopes Siqueira, Rodrigo Costa Mateus, Ricardo Rodrigues Ciferri, Valéria Cesário Times
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Cloud computing systems handle large volumes of data by using almost unlimited computational resources, while spatial data warehouses (SDWs) are multidimensional databases that store huge volumes of both spatial data and conventional data. Cloud comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::335d6e47ef1bfd4d6dc2bd5f8ffba533
https://doi.org/10.1007/s10619-015-7176-z
https://doi.org/10.1007/s10619-015-7176-z
Autor:
Rodrigo Costa Mateus, Cristina Dutra Aguiar de Ciferri, Thiago Luís Lopes Siqueira, Ricardo Rodrigues Ciferri, Valéria Cesário Times
Publikováno v:
Lecture Notes in Geoinformation and Cartography ISBN: 9783642197888
AGILE Conf.
AGILE Conf.
Non-redundant geographic data warehouse (GDW) schemas have been recognized as an essential issue in the GDW design. However, little attention has been devoted to the study of how the handling of vague spatial data affects query performance and storag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7acab747da78aed6b16f3a9b17061c52
https://doi.org/10.1007/978-3-642-19789-5_19
https://doi.org/10.1007/978-3-642-19789-5_19
Autor:
Mateus, Rodrigo, Siqueira, Thiago, Times, Valéria, Ciferri, Ricardo, Aguiar Ciferri, Cristina
Publikováno v:
Distributed & Parallel Databases; Sep2016, Vol. 34 Issue 3, p425-461, 37p
Publikováno v:
Distributed & Parallel Databases; Sep2016, Vol. 34 Issue 3, p289-292, 4p
The book comprises innovative research presented at the 14th Conference of the Association of Geographic Information Laboratories in Europe (AGILE), held in 2011 in Utrecht, The Netherlands. The scientific papers cover a large variety of fundamental