期刊名称：International Journal of Computers and Communications
印刷版ISSN：2074-1294
出版年度：2012
卷号：6
期号：1
页码：68-75
出版社：University Press
摘要：In the Internet age there are stored enormous amounts of data daily. Nowadays, using data mining techniques to extract knowledge from web log files has became a necessity. The behavior of Internet users can be found in the log files stored on Internet servers. Web log analysis can improve business firms that are based on a Web site through learning user behavior and applying this knowledge to target them for example to pages that other users with similar behavior have visited. The extraction of useful information from these data has proved to be very useful for optimizing Web sites and promotional campaigns for marketing, etc. In this paper I will focus on finding associations as a data mining technique to extract potentially useful knowledge from web usage data. I implemented in Java programming language, using NetBeans IDE, a program for identification of pages’ association from sessions. For exemplification, I used the log files from a commercial web site.
关键词：Apriori algorithm; Association rules; Clickstream;analysis; Sessions’ identification; Web server logs; Web usage;mining.
