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As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an enhanced segmentation algorithm for representing a periodic spatio-temporal trajectory, as a compact set of minimal bounding boxes (MBBs). We also introduce a new, "data-amountbased" similarity measure between mobile trajectories which is compared empirically to an existing similarity measure by clusteringdoi:10.1109/icdmw.2007.79 dblp:conf/icdm/ElnekaveLM07 fatcat:ckclshloevb77kxhjukojn74ge