An improved algorithm for session identification on web log

Authors:
Yuankang Fang;Zhiqiu Huang
Affiliations:
College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China and Department of Mathematics and Computer Science, Chi Zhou University, Chiz ...;College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China
Venue:
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Year:
2010

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Abstract

As regards session identification method on web mining, an improved one has been put forward. Firstly, considering website structure and its content, page access time threshold will be reached after collecting access time of each page, which should be used to divide sessions into various sets. Then, the session sets will be optimized further, with the help of session reconstruction, namely union and rupture. It has been proved through experiment that the session set which is attained by the above method is more faithful.