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Regions of interest in trajectory data warehouse

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In the paper we present algorithms for determining regions of interest in the context of movement patterns. The developed algorithms are based on the clustering of grid cells. The grid cells are merged on the basis of the information about movement flows between cells and the number of trajectories that intersected them. The proposed solutions allow to determine the rectangular regions of interest of different size. The size of a resulting region depends on the intensity of movement flows. To determine flows between regions the interpolation of regions has been applied. The interpolation of regions uses a linear interpolation function at the output of which we get the intersection points between the trajectory segment and grid cells. This paper also shortly reviews existing approaches to constructing regions of interest.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
Pages74-81
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2010
Event2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010 - Hue City, Viet Nam
Duration: 24 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5990 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
Country/TerritoryViet Nam
CityHue City
Period24/03/1026/03/10

Keywords

  • Clustering
  • Movement Pattern
  • Region of Interest
  • Trajectory Data Warehouse

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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