In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on trajectories and present three implementation alternatives for computing groups of trajectories for group-by aggregation: group by overlap, group by intersection, and group by overlap and intersection. We also present an interactive OLAP environment for resolution drill-down/roll-up on sets of trajectories and parameter browsing. Using generated and real life moving data sets, we evaluate the performance of our GROUP_TRAJECTORIES operator. An implementation of our new interactive OLAP environment for trajectories can be accessed at http://OLAP-T.cgmlab.org . © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Baltzer, O., Dehne, F., Hambrusch, S., & Rau-Chaplin, A. (2008). OLAP for trajectories. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5181 LNCS, pp. 340–347). https://doi.org/10.1007/978-3-540-85654-2_32
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