随着网站内容的不断丰富和访问量的增加,网站结构变得越来越复杂,导致信息获取和推送都比较困难.将数据挖掘技术应用于用户访问模式,形成了Web访问模式挖掘.Web访问模式挖掘是从Web访问日志中挖掘有用的用户访问信息,据此可以形成关联规则、序列模式、聚类模式和分类模式等4类信息,这对于优化站点结构、为不同类别的用户提供个性化服务,有效地实现信息获取和信息推送是非常必要的.Web访问模式挖掘是目前数据挖掘领域的一个重要研究课题,结合研究工作,从概念、方法、任务、过程、应用及面临的挑战等方面对其进行了较详细的评述.
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