Spatio-temporal aggregations in trajectory data warehouses
Orlando S., Orsini R., Raffaetà A., Roncato A., Silvestri C.
Data Warehouses Trajectory Data Moving Objects
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.
Source: Data Warehousing and Knowledge Discovery . 9th International Conference on Data Warehousing and Knowledge Discovery, DaWaK '07, pp. 66–77, Regensburg, Germany, 3-7 September 2007
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@inproceedings{oai:it.cnr:prodotti:44017,
title = {Spatio-temporal aggregations in trajectory data warehouses},
author = {Orlando S. and Orsini R. and Raffaetà A. and Roncato A. and Silvestri C.},
booktitle = {Data Warehousing and Knowledge Discovery . 9th International Conference on Data Warehousing and Knowledge Discovery, DaWaK '07, pp. 66–77, Regensburg, Germany, 3-7 September 2007},
year = {2007}
}
0000-0002-4155-9797