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
Link To Document :
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