摘要
提出一种基于区域特征的分布式Web用户兴趣迁移模式挖掘模型DWICP,以及基于该模型的具有区域特征的用户识别方法和局部浏览兴趣迁移模式更新算法/全局浏览兴趣迁移模式更新算法,用于发现具有区域特征的用户浏览兴趣迁移模式。实验表明,该方法能够较好地解决分布式环境下Web访问行为模式研究中的区域分析需求,同时提高了用户浏览兴趣表示的准确性。
A distributed Web intest conversion pattern system model based on localization property is proposed. It is presented that a method of identifying users with localization property to get the user location and the more general incremental updating algorithms of local interest conversion patterns /global interest conversion patterns in a distributed database system based on the model for discovering the user interest conversion patterns with localization property. Finally, the method is simply realized and tested with real world website information. The results show that the method successfully solves troubles caused by analyzing Web access behavior pattern with localization property in a distributed environment.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2008年第10期1995-1998,共4页
Systems Engineering and Electronics
基金
国家自然科学基金(60773120)
信息安全和保密重点实验室基金资助课题
关键词
分布式数据挖掘
兴趣迁移模式
WEB访问模式挖掘
区域特征
distributed data mining
interest conversion pattern
Web access pattern mining
localization property
