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Abstract

Currently many devices provide information about moving objects and location-based services that accumulate a huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks — mining moving object patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm, which we applied to two real-world data sets.

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Correspondence to Jaroslav Zendulka or Martin Pešek.

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Zendulka, J., Pešek, M. Mining moving object data. centr.eur.j.comp.sci. 2, 183–193 (2012). https://doi.org/10.2478/s13537-012-0018-4

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  • DOI: https://doi.org/10.2478/s13537-012-0018-4

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