摘要
介绍Web日志挖掘预处理过程中一些特殊情况的处理方法,在会话识别阶段给出一种基于过滤框架网页与会话重组相结合的会话识别方法,在会话识别之前进行框架网页的过滤,根据传统的会话识别方法构造初始会话集,使用会话重组算法对初始会话集进行优化。实验结果显示,该方法提高了会话识别的质量。
This paper introduces some special processing methods of preprocessing in the field of Web log mining. The algorithm based on frame page filtering and session identification is proposed at the stage of transaction recognition. Before identification, frame pages are filtered, and initial session sets are constructed by traditional method of session identification. The quality of session set is improved using a method of union and rupture. Experimental results show the algorithm enhances the quality of session identification.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第10期73-74,77,共3页
Computer Engineering
基金
国家自然科学基金资助项目(050504F)
安徽省教育厅自然科学基金资助项目(XK0829,KJ2008B45ZC)
池州学院自然科学基金资助项目(2007XJ015)