基于粗糙集的Web结构挖掘

Web站点是由许多Web页面构成的信息系统,随着网络的飞速发展,Web挖掘得到了越来越多的研究。如何从Web中找到与用户查询主题相关的权威页面,是Web结构挖掘的一个重要研究方向。粗糙集理论作为一种有效处理模糊和不确定信息的数学工具,由于其不需要任何先验知识,在数据挖掘领域取得了广泛的应用。文中概述了Web结构挖掘的有关概念,基于粗糙集理论,定义了Web结构挖掘的数据模型,并给出了基于粗糙集的Web结构挖掘的实现流程,分析说明了该方法的性能。

Web Structure Mining Based on Rough Set Theory

Web site is an information system composed of many Web pages,with the rapid development of the Internet,more and more research works are come out with the Web mining.How to find the authoritative pages interrelated to the themes of users' query is an important research aspect about the Web structure mining.As an effective mathematical tool to deal with vague and uncertain information and having no use for any preliminary information,rough set theory has been widely applied to data mining.The conceptions of Web structure mining are introduced.Based on rough set theory,a data model of Web structure mining is defined.An implementation flow about the Web structure mining based on rough set theory is proposed and the performance is analyzed.