• DocumentCode
    2106792
  • Title

    Sequential analysis of the web access state

  • Author

    Minjie Guo ; Hao Yan ; Fang Liu ; Zhenming Lei

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    9-11 Nov. 2012
  • Firstpage
    850
  • Lastpage
    854
  • Abstract
    In the recent years, more and more researchers are likely focusing to define the dynamic behavior pattern of the web visitors and its changing regulation, rather than use the method of unitary static analysis to obtain stable and constant behavior pattern. In this paper, the method of obtaining the web access behavior state and the sequence of the state is presented firstly. Then, according to the sequence, the statistical analysis of the web access state is undertaken. Finally, the result of that the state of many transferring web users is comparatively stable can be concluded. According to the former historical data of the web access state, it can be predicted, and the theoretical basis is provided for our future research.
  • Keywords
    Internet; statistical analysis; Web access behaviour state; Web user; sequential analysis; unitary statistical analysis; state sequence; state similarity; state transition; web access state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2012 IEEE 14th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-2100-6
  • Type

    conf

  • DOI
    10.1109/ICCT.2012.6511414
  • Filename
    6511414