• DocumentCode
    3470882
  • Title

    Site Location of Express Enterprise through DBSCAN-Based Spherical Clustering

  • Author

    Wang, Wei-ping ; Yang, Bo

  • Author_Institution
    Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to dig out the site location knowledge of express enterprise from mobile commerce system, we can cluster the geographical information which lies in electronic manifest. This paper proposes a new clustering method for site location; combine DBSCAN with spherical cluster request: when we can not provide site number K, we can acquire the locations which conform to circular distribution by the method. It redeemed the shortcoming that density-based clustering can´t generate spherical cluster, better solved the express enterprise site location problem.
  • Keywords
    electronic commerce; logistics data processing; mobile computing; enterprise site location problem; express enterprise; geographical information; mobile commerce system; spherical cluster; spherical clustering; Business; Companies; Knowledge management; Logistics; Mobile computing; Packaging; Personal digital assistants; Portable computers; Technology management; Uninterruptible power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2531
  • Filename
    4680720