Detail publikačního výsledku

Mining Moving Object Data

ZENDULKA, J.

Originální název

Mining Moving Object Data

Anglický název

Mining Moving Object Data

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Klíčová slova

data mining, moving object, trajectory pattern, trajectory outlier

Klíčová slova v angličtině

data mining, moving object, trajectory pattern, trajectory outlier

Autoři

ZENDULKA, J.

Rok RIV

2012

Vydáno

15.11.2011

Nakladatel

Faculty of Electrical Engineering and Informatics, University of Technology Košice

Místo

Košice

ISBN

978-80-89284-94-8

Kniha

Proceedings of the Eleventh International Conference on Informatics

Strany od

16

Strany do

21

Strany počet

6

BibTex

@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"
}