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Database and Expert Systems Applications, 15th International Workshop on (DEXA'04)
Spatio-Temporal Data Warehouse Design for Human Activity Pattern Analysis
Zaragoza, Spain
August 30-September 03
ISBN: 0-7695-2195-9
L. Savary, Versailles University, France
T. Wan, Versailles University, France
K. Zeitouni, Versailles University, France
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (numerical or textual), object motion defines a continue variation in space and time. This makes it difficult to handle such datasets, for instance, answering the query "how many objects cross a given area during a given time period?" This article addresses spatio-temporal data warehouse schema modelling in order to facilitate those queries and more generally, on-line analytical processing (OLAP) on spatio-temporal databases. It is illustrated on a space-time human activity survey database within the framework of a European IST project.
Citation:
L. Savary, T. Wan, K. Zeitouni, "Spatio-Temporal Data Warehouse Design for Human Activity Pattern Analysis," dexa, pp.814-818, Database and Expert Systems Applications, 15th International Workshop on (DEXA'04), 2004
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