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"
}