文章基本信息

标题：Extracting Users’Navigational Behavior from Web Log Data: a Survey
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作者：Maryam Jafari ; Farzad SoleymaniSabzchi ; Shahram Jamali 等
期刊名称：Journal of Computer Sciences and Applications
印刷版ISSN：2328-7268
电子版ISSN：2328-725X
出版年度：2013
卷号：1
期号：3
页码：39-45
DOI：10.12691/jcsa-1-3-3
语种：English
出版社：Science and Education Publishing
摘要：Web Usage Mining (WUM) is a kind of data mining method that can be used to discover user access patterns from Web log data. A lot of research has been done already about this area and the obtained results are used in different applications such as recommending the Web usage patterns, personalization, system improvement and business intelligence. WUM includes three phases that are called preprocessing, pattern discovery and pattern analysis. There are different techniques for WUM that have their own advantages and disadvantages. This paper presents a survey on some of the existing WUM techniques and it is shown that how WUM can be applied to Web server logs.
关键词：web usage mining; web log mining; pattern discovery; preprocessing; sequence mining