• DocumentCode
    2709122
  • Title

    NCAC: A Novel Chinese Address Clustering Algorithm

  • Author

    Liu, Jian-Xun ; Wen, Yi-Ping ; Liu, Jie

  • Author_Institution
    Hunan Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan, China
  • fYear
    2006
  • fDate
    1-3 Nov. 2006
  • Firstpage
    56
  • Lastpage
    56
  • Abstract
    This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers´ postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
  • Keywords
    pattern clustering; text analysis; Chinese customer; NCAC; customers postal code; novel Chinese address clustering algorithm; standard k-means algorithm; text clustering technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7695-2673-X
  • Type

    conf

  • DOI
    10.1109/SKG.2006.65
  • Filename
    5727693