Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Thiago Luís Lopes Siqueira"'
Publikováno v:
CLEI Electronic Journal, Vol 15, Iss 2 (2012)
Data warehouse and OLAP are core aspects of business intelligence environments, since the former store integrated and time-variant data, while the latter enables multidimensional queries, visualization and analysis. The bitmap join index has been rec
Externí odkaz:
https://doaj.org/article/4bc12915757d4d26a5f8f01f1e0e886b
Autor:
Thiago Luís Lopes Siqueira
Publikováno v:
Anais do Women in Information Technology (WIT 2020).
"Elas" é um conjunto de intervenções educacionais e de apoio a mulheres no ensino superior em Computação. As intervenções incidem tanto nas atividades curriculares (aula de um componente curricular) quanto nas extracurriculares (mesa-redonda e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f0fb1a81d56068ca737ef5aef6ddee2
https://doi.org/10.5753/wit.2020.11272
https://doi.org/10.5753/wit.2020.11272
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:
Ricardo Rodrigues Ciferri, Valéria Cesário Times, Cristina Dutra de Aguiar Ciferri, Thiago Luís Lopes Siqueira
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
Although many real world phenomena are vague and characterized by having uncertain location or vague shape, existing spatial data warehouse models do not support spatial vagueness and then cannot properly represent these phenomena. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73061ae8367e4f0c4df1c20a33a9f803
https://doi.org/10.1007/s10707-013-0186-y
https://doi.org/10.1007/s10707-013-0186-y
Autor:
Thiago Luís Lopes Siqueira, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar 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
Spatial data warehouses (SDWs) allow for spatial analysis together with analytical multidimensional queries over huge volumes of data. The challenge is to retrieve data related to ad hoc spatial query windows according to spatial predicates, avoiding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48156756ca1f4489f8a9bd7118de4051
https://doi.org/10.1007/s10707-011-0128-5
https://doi.org/10.1007/s10707-011-0128-5
Publikováno v:
CLEI
Spatial data warehouses provide a means of carrying out spatial analysis together with agile and flexible multidimensional analytical queries performed by SOLAP tools. However, queries are processed with slow query response times and functionalities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5fb43263e307cd946597a6c29a0ead3
https://doi.org/10.1109/clei.2013.6670652
https://doi.org/10.1109/clei.2013.6670652
Autor:
Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, Valéria Cesário Times, Thiago Luís Lopes Siqueira
Publikováno v:
Geographic Information Science ISBN: 9783642330230
GIScience
GIScience
Currently, geographic data warehouses provide a means of carrying out spatial analysis together with agile and flexible multidimensional analytical queries over huge volumes of data. However, they do not enable the representation and neither the anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6973683d74bc427d13efed8ff1b8b782
https://doi.org/10.1007/978-3-642-33024-7_13
https://doi.org/10.1007/978-3-642-33024-7_13
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:
Valéria Cesário Times, Thiago Luís Lopes Siqueira, Jaqueline J. Brito, Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri
Publikováno v:
Data Warehousing and Knowledge Discovery ISBN: 9783642235436
DaWaK
DaWaK
Drill-across SOLAP queries (spatial OLAP queries) allow for strategic decision-making through the use of numeric measures from distinct fact tables that share dimensions and by the evaluation of spatial predicates. Despite the importance of these que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8ada2db3748109369e44e9f3421bac
https://doi.org/10.1007/978-3-642-23544-3_12
https://doi.org/10.1007/978-3-642-23544-3_12
Autor:
Thiago Luís Lopes Siqueira, Ricardo Rodrigues Ciferri, Valéria Cesário Times, Cristina Dutra de Aguiar Ciferri
Publikováno v:
Data Warehousing and Knowledge Discovery ISBN: 9783642151040
DaWak
DaWak
Spatial data warehouses (SDW) enable analytical multidimensional queries together with spatial analysis. Mainly, three operations are related to SDW query processing performance: (i) joining large fact tables and large spatial and non-spatial dimensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc0d25cda0e6346bc24b691753409c2d
https://doi.org/10.1007/978-3-642-15105-7_4
https://doi.org/10.1007/978-3-642-15105-7_4