文章基本信息

标题：Web Usage Mining for Comparing User Access Behaviour using Sequential Pattern
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作者：Amit Dipchandji Kasliwal ; Dr. Girish S. Katkar
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：3769-3773
出版社：TechScience Publications
摘要：In the current era of technology, every organization using a dynamic process of communication that changing in very interactive manner which is fulfilled by their own website hosted by their own web servers or commercial web server. This website gathers information about user access at every time when user interacts for communication with some resources available to them. And this makes easiest way for website administrator to compare the information about the user’s navigational patterns explored from the web access logs and can also be useful to compare the user access behaviour about what will be the next page that should be provided to the user following the patterns. To achieve this purpose sequential pattern technique can be used. Sequential pattern technique discovers frequent sequence referred to as patterns in sequential database. In this study we are proposing the algorithm for finding the sequential pattern that could suggest and compare the generated patterns with the minimum support measure.
关键词：Web Usage Mining; Web access log file;Sequential patterns.