摘要
随着网络技术的发展,网上的信息资源越来越丰富,怎样对web上海量的数据信息进行深层次的应用成了数据挖掘技术的研究热点.而XML能够为Web挖掘提供半结构化的数据模型,解决了Web挖掘中的数据源问题.文章通过介绍Web数据挖掘的分类和总体流程,探讨了XML在Web数据挖掘中的应用,进而在此基础之上提出了一种基于XML的Web数据挖掘模型,剖析了该模型的各个组成部分.
With the development of networking technology, internet information resources, become more and more abundant and how to apply plentiful web data to the field of web data mining has been brought into focus. XML（Extensible Markup Language） can provide web mining with semi-structured data mode, which solves the data sources problem in web mining. The article discusses the application of XML in the field of web data mining ,by introducing the classification of Web data mining and the overall process, and on this basis a XML-based Web data mining model is proposed,each component of the model is explained.
出处
《新疆大学学报（自然科学版）》
CAS
2009年第3期349-354,共6页
Journal of Xinjiang University(Natural Science Edition)
