基于信息过滤后的Web内容挖掘

Internet的迅速发展,使得worldwideweb已经成为一个巨大的、蕴含着具有潜在价值知识的分布式信息空间,为Web挖掘研究提供了丰富的资源的同时也提出了新的挑战。该文首先论述了Web内容挖掘技术的挖掘原理和所面对的困难,然后介绍了信息过滤技术的规则以及过程。最后提出了基于信息过滤的Web内容挖掘的系统方案,较好地解决了当前Web内容挖掘中准确度不高、冗余性大的缺陷。

Web Mining on Information Filtering

With the rapid development of Internet,the Word Wide Web(WWW)has already become a huge global service center with widely -distributed and large quantities of hidden information,which provides not only abundant resources but also challenge to Web mining.This paper discusses the theory of Web content mining,then introduces the rule and processes of information filtering system,At the end,it proposes Web content mining based on information filtering system,which can better solves the disadvantages of Web content mining,