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基于区域特征分布式Web用户兴趣迁移模式
引用本文:张克君,杨炳儒,章小莉,宋泽锋,陈卓. 基于区域特征分布式Web用户兴趣迁移模式[J]. 系统工程与电子技术, 2008, 30(10)
作者姓名:张克君  杨炳儒  章小莉  宋泽锋  陈卓
作者单位:1. 北京电子科技学院计算机科学与技术系,北京,100070
2. 北京科技大学信息工程学院,北京,100083
基金项目:国家自然科学基金,信息安全和保密重点实验室基金
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.

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 Web interest conversion pattern mining based on localization property
ZHANG Ke-jun,YANG Bing-ru,ZHANG Xiao-li,SONG Ze-feng,CHEN Zhuo. Distributed Web interest conversion pattern mining based on localization property[J]. System Engineering and Electronics, 2008, 30(10)
Authors:ZHANG Ke-jun  YANG Bing-ru  ZHANG Xiao-li  SONG Ze-feng  CHEN Zhuo
Abstract: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.
Keywords:distributed data mining  interest conversion pattern  Web access pattern mining  localization property
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