• DocumentCode
    1807426
  • Title

    An research review on clustering analysis for spatio-temporal trajectories of moving point objects

  • Author

    Zhao Xiuli

  • Author_Institution
    Shandong Polytech. Univ., Jinan, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2686
  • Lastpage
    2690
  • Abstract
    As an information extraction technology, clustering analysis for spatio-temporal trajectories of moving point objects focuses on spatial and temporal distribution and principle of group movement behavior. Potential applications span a wide spectrum such as meteorology, traffic engineering, wildlife migration, mobile network allocation and logistics. Firstly some concepts related to clustering analysis for spatio-temporal trajectories of moving point objects are introduced. Then the current research progresses of this filed are elaborately summarized. Finally the open research problems are pointed out. Clustering analysis for spatio-temporal trajectories of moving point objects is a novel research field and many issues need to be solved. The review research on this topic has great theoretical and practical value.
  • Keywords
    data mining; information retrieval; pattern clustering; spatiotemporal phenomena; clustering analysis; group movement behavior; information extraction technology; moving point objects; spatial distribution; spatio-temporal trajectories; temporal distribution; Equations; Mathematical model; clustering analysis; moving point objects; spatio-temporal data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182521
  • Filename
    6182521