摘要
针对现有Web访问序列模式挖掘算法和PrefixSpan算法存在的问题,提出一种基于投影位置的Web访问序列模式挖掘算法(PWSPM)。该算法通过序列模式分析,发现用户的行为模式,预测用户对网页的访问模式,进而改进站点的性能和组织结构,提高用户查找信息的质量和效率,以及对用户开展个性化的信息服务。实验和应用结果表明,提出的算法具有更好的执行效率,适用于Web日志挖掘,可用于构建智能化Web站点和解决个性化的信息服务问题。
In view of the problems existing in present sequential pattern mining algorithm for Web access and PrefixS- pan algorithm, a sequential pattern mining algorithm for Web access based on projection position-based （PWSPM） was proposed. This algorithm uses sequence pattern analysis to find the user＇s behavior mode/and predict user＇s access pat- tern to home pages. And then, according to analytieal results, it improves sites performance and organizational structure to increase the quality and efficiency of the users to find information. Experimental and application results show that PSPM-Web algorithm has better runtime performance and extensibility. It can apply in Web log mining and is used to build intelligent Web sites and solve the personalized information services.
出处
《计算机科学》
CSCD
北大核心
2013年第12期41-44,共4页
Computer Science
基金
国家自然科学基金项目(60973074)资助
