Publication Details
Mining Moving Object Data
data mining, moving object, trajectory pattern, trajectory outlier
Currently there is a lot of devices that provide information about objects and this together with location-based services accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object data patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm that we applied on two real-world data sets.
Currently there is a lot of devices that provide information about objects together with location-based services accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object data patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm when we applied it on two real-world data sets.
@inproceedings{BUT76480,
author="Jaroslav {Zendulka}",
title="Mining Moving Object Data",
booktitle="Proceedings of the Eleventh International Conference on Informatics",
year="2011",
pages="16--21",
publisher="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
address="Košice",
isbn="978-80-89284-94-8"
}