Λεπτομέρειες

ΕίδοςΔημοσίευση
ΚωδικόςTR-2008-13
ΤίτλοςOn-Line Discovery of Hot Motion Paths
ΣυγγραφέαςΔημήτρης Σαχαρίδης, Κώστας Πατρούμπας, Μανώλης Τερροβίτης, Βηρένα Καντερέ, Μιχάλης Ποταμιάς, Κυριάκος Μουρατίδης, Τίμος Σελλής
Έτος2008
Λέξεις κλειδιάspatiotemporal streams
ΠερίληψηWe consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investigate the problem of maintaining hot motion paths, i.e., routes frequently followed by multiple objects over the recent past. Motion paths approximate portions of objects’ movement within a tolerance margin that depends on the uncertainty inherent in positional measurements. Discovery of hot motion paths is important to applications requiring classification/profiling based on monitored movement patterns, such as targeted advertising, resource allocation, etc. To achieve this goal, we delegate part of the path extraction process to objects, by assigning to them adaptive lightweight filters that dynamically suppress unnecessary location updates and, thus, help reducing the communication overhead. We demonstrate the benefits of our methods and their efficiency through extensive experiments on synthetic data sets.
ΚατηγορίαData Streams
ΔημοσίευσηProceedings of the 11th International Conference on Extending Database Technology (EDBT'08), Nantes, France, March 25-30, 2008
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