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基于引用启发式和URL语义相结合的会话识别方法
引用本文:张 帅,陈兴蜀,童 浩,崔晓靖.基于引用启发式和URL语义相结合的会话识别方法[J].计算机应用研究,2014,31(1):102-105.
作者姓名:张 帅  陈兴蜀  童 浩  崔晓靖
作者单位:四川大学 计算机学院, 成都 610065
基金项目:国家自然科学基金面上资助项目(61272447)
摘    要:会话识别是Web日志的用户行为分析的关键步骤, 精准的会话识别是有效进行用户行为分析的基础。已有的会话识别方法不能有效地动态适应不同的用户(如多IP单用户、单IP多用户)行为, 在Web日志分析的基础上, 提出了一种基于引用启发式和URL语义相结合的会话识别方法。实验结果表明, 改进后的会话识别方法能更有效地识别出用户的真实会话。

关 键 词:Web日志挖掘  会话识别  数据预处理  引用启发式  URL语义

Methodology for session identification based on combination of referenced heuristic and URL-semantic
ZHANG Shuai,CHEN Xing-shu,TONG Hao,CUI Xiao-jing.Methodology for session identification based on combination of referenced heuristic and URL-semantic[J].Application Research of Computers,2014,31(1):102-105.
Authors:ZHANG Shuai  CHEN Xing-shu  TONG Hao  CUI Xiao-jing
Affiliation:College of Computer, Sichuan University, Chengdu 610065, China
Abstract:Session identification is an importent step in data preprocessing of Web log mining, the improvement of the accuracy of the session provides accurate and reliable data for user behavior analysis. Existing session identification methods can't adapt to the different users (eg, multi-IP-single-user, single-IP-multi-user) behavior dynamically. Based on Web log analysis, this paper presented a method of based on the combination of referenced heuristic and URL-semantic for session identification. Experimental results show that the presented approach can more effectively identify the user's session than the traditional method.
Keywords:Web mining  session identification  data pre-processing  referenced heuristic  URL-semantic
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