Detail publikace
Mining Moving Object Data
Originální název
Mining Moving Object Data
Anglický název
Mining Moving Object Data
Jazyk
en
Originální abstrakt
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.
Anglický abstrakt
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.
BibTex
@inproceedings{BUT76480,
author="Jaroslav {Zendulka}",
title="Mining Moving Object Data",
annote="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.",
address="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
booktitle="Proceedings of the Eleventh International Conference on Informatics",
chapter="76480",
edition="NEUVEDEN",
howpublished="print",
institution="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
year="2011",
month="november",
pages="16--21",
publisher="Faculty of Electrical Engineering and Informatics, University of Technology Košice",
type="conference paper"
}