【摘要】 大型网站为了提高访问效率,通常建立多个镜像站点,这导致获取网站全局的用户访问模式知识变得困难。该文提出一种分布式W eb日志挖掘模型DW LM S,并以路径分析技术为例,提出了基于DW LM S的局部频繁路的更新算法LFP和全局频繁路径的更新算法GFP,解决了W eb访问信息的异地存储、实时增长、分布式算法通讯量等因素给模式分析过程带来的困难。对提出的算法进行了实现和实际日志数据的测试,结果证明了算法的有效性。更多还原

【Abstract】 A number of mirror image websites are established to improve the visited efficiency, which makes it difficult to obtain the overall user access patterns knowledge. The goal of web access patterns mining is to discover the access pattern and hidden information from the huge collection of documents plus hyperlink information, access and usage information. The path analysis technique is important. This paper presents a distributed web log mining system DWLMS model and the more general incremental updating algorithms of local frequent paths LFP and global frequent paths GFP in a distributed database system based on DWLMS for discovering the frequent access paths. The algorithms solve troubles which are made by the real time incremental distributed web access information and the more communication number. The method is realized and tested with real world web logs information. The results show that the algorithms are valid.更多还原