In this paper we investigate some issues related to the design of a simple Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an unpredictable and unbounded way. Then, we focus on the measure presence, the most complex measure stored in our DW. Such a measure returns the number of trajectories that lie in a spatial region during a given temporal interval. We devise a novel way to compute an approximate, but very accurate, presence aggregate function, which algebraically combines a bounded amount of measures stored in the base cells of the data cube. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Orlando, S., Orsini, R., Raffaetà, A., Roncato, A., & Silvestri, C. (2007). Spatio-temporal aggregations in trajectory data warehouses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4654 LNCS, pp. 66–77). Springer Verlag. https://doi.org/10.1007/978-3-540-74553-2_7
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