• DocumentCode
    1910787
  • Title

    Pattern Mining from Trajectory GPS Data

  • Author

    Geng, Xiaoliang ; Arimura, Hiroki ; Uno, Takeaki

  • Author_Institution
    Grad. Sch. of Inf. Sciece & Technol., Hokkaido Univ., Sapporo, Japan
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    60
  • Lastpage
    65
  • Abstract
    In this paper, we consider data mining from large discrete trajectory data. We study closed pattern mining for the class of trajectory envelope patterns. First, we introduce the basic definition of trajectory data. Then, we present a depth-first search algorithm that finds all trajectory envelope patterns in a given database that satisfies constrants on maximum width, minimum length, and minimum frequency. Finally, we ran experiments on a real trajectory dataset to evaluate our algorithm.
  • Keywords
    Global Positioning System; data mining; search problems; database; depth-first search algorithm; discrete trajectory data; pattern mining; trajectory GPS data; trajectory envelope pattern; Approximation algorithms; Data mining; Databases; Global Positioning System; Informatics; Trajectory; GPS-trajectory; closed pattern mining; computation geometry; spatio-temporal data; trajectory mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-2719-0
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2012.21
  • Filename
    6337158