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GIS
2004
ACM
14 years 8 months ago
Capturing complex multidimensional data in location-based data warehouses
Motivated by the increasing need to handle complex multidimensional data in location-based data warehouses, this paper proposes a powerful data model that is able to capture the c...
Igor Timko, Torben Bach Pedersen
GIS
2004
ACM
14 years 8 months ago
Representing spatiality in a conceptual multidimensional model
Data Warehouses and On-Line Analytical Processing systems rely on a multidimensional model that includes dimensions, hierarchies, and measures. Such model allows to express users&...
Elzbieta Malinowski, Esteban Zimányi
CAISE
2003
Springer
14 years 19 days ago
Requirements Driven Data Warehouse Development
Data Warehouses are decisional information artifacts that are embedded in the organizations that create/maintain them. Therefore, Data Warehouse Requirements Engineering must start...
Naveen Prakash, Anjana Gosain
ER
2010
Springer
129views Database» more  ER 2010»
13 years 6 months ago
Specifying Aggregation Functions in Multidimensional Models with OCL
Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satis...
Jordi Cabot, Jose-Norberto Mazón, Jes&uacut...
DAWAK
2011
Springer
12 years 7 months ago
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses
In recent years, there has been a large increase in the amount of spatial data obtained from remote sensing, GPS receivers, communication terminals and other domains. Data warehous...
Ganesh Viswanathan, Markus Schneider