Web用户访问模式挖掘

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.

Web Usage Mining

With the explosive growth of data available on the World Wide Web and the sheer volume of traffic and the size and complexity of Web sites. Discovery and analysis of useful information from the World Wide Web becomes a practical necessary. Web Usage Mining is the application of Data Mining techniques to discover usage patterns from Web data in order to understand and serve the needs of Web-based applications. The usage pattern which includes similar customer groups, relevant Web pages and frequent access paths is necessary to optimize the structure of Web site, to supply the individuation service. Web Usage Mining is the important problem in Data Mining. This paper is an up to date survey, which presents the basic concepts, measures, duty, procedure, application and the challenge in Web Usage Mining.