Publication detail

Mining Moving Object Data

ZENDULKA, J. PEŠEK, M.

Original Title

Mining Moving Object Data

Type

journal article - other

Language

English

Original Abstract

Currently there is a lot of devices that provide information about moving objects and location-based services that accumulate 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 when we applied it on two real-world data sets.

Keywords

data mining, moving object data, trajectory, moving object patterns mining, trajectory outlier detection

Authors

ZENDULKA, J.; PEŠEK, M.

RIV year

2012

Released

1. 10. 2012

ISBN

1896-1533

Periodical

Central European Journal of Computer Science

Year of study

2

Number

3

State

Kingdom of the Netherlands

Pages from

183

Pages to

193

Pages count

11

URL

http://link.springer.com/article/10.2478/s13537-012-0018-4

BibTex

@article{BUT96931,
  author="Jaroslav {Zendulka} and Martin {Pešek}",
  title="Mining Moving Object Data",
  journal="Central European Journal of Computer Science",
  year="2012",
  volume="2",
  number="3",
  pages="183--193",
  doi="10.2478/s13537-012-0018-4",
  issn="1896-1533",
  url="http://link.springer.com/article/10.2478/s13537-012-0018-4"
}