基于Web日志的用户访问模式挖掘

Discovering Web Usage Patterns on Web Logs

随着数据挖掘和万维网技术的结合,使得从收集到的访问Internet网页的网站日志记录中执行数据挖掘成为可能。将数据挖掘技术应用于Web日志记录,来发现用户访问Web页面的模式,便形成了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,用于找出头N个用户,头N个被访问页面,最频繁访问时间以及关联模式、序列模式、聚类模式、分类模式和Web访问趋势等,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热点,详细论述了Web访问模式挖掘的概念、方法和过程。

As a confluence of data mining and WWW technologies,it it now possi ble to perform data mining on web log records collected from the Internet web pa ge access history. Web Usage Mining is the application of Data Mining techniques to discover usage patterns from Web data in order to understand and serve the n eeds of Web-based applications. Web Usage Mining discover useful information o n web logs to find out the most frequently accessed pages, average view time of a page and Association Rules,Clustering Patterns,Classification Patterns,Sequent ial Patterns. It is necessary to optimize the structure of Web site and to suppl y the individuation service.Now Web Usage Mining is hotspot of Data Mining.The p aper is a survey of concepts,measures and process in Web Usage Mining.