• DocumentCode
    2714101
  • Title

    Invited seminar abstracts

  • Author

    Trajcevski, G. ; Gunopulos, Dimitrios

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • fYear
    2010
  • fDate
    23-26 May 2010
  • Abstract
    The main motivation for this tutorial is that one particular property of the mobile entities - their similarity, has been of interest in wide range of application domains where some form of location-based awareness is needed. The objective of this tutorial is to give an overview of the different facets of the problem of detecting the similarity among moving objects´ trajectories. Specifically, different techniques are presented for assessing the similarity and identify the implications that different applications context(s) have on the specific approaches. The article also discuss the impact of the similarity-based mining/clustering of spatiotemporal data on applications that have large societal impacts, such as efficient traffic management and disaster remediation.
  • Keywords
    data mining; mobile computing; motion estimation; pattern clustering; location-based awareness; mobile entities; motion similarity; moving object trajectories; similarity detection; similarity-based clustering; similarity-based mining; spatiotemporal data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2010 Eleventh International Conference on
  • Conference_Location
    Kansas City, MO
  • Print_ISBN
    978-1-4244-7075-4
  • Type

    conf

  • DOI
    10.1109/MDM.2010.81
  • Filename
    5489772