Generalization of web log datas using WUM technique

Authors:
M. Saravanan;B. Valaramathi
Affiliations:
Department of Computer Science and Engineering, SKP Engineering College, Tiruvannamalai, India;Department of Computer Science and Engineering, SKP Engineering College, Tiruvannamalai, India
Venue:
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Year:
2010

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Abstract

This paper attempts to understand the behavioral patterns of the websites visitors with the aim to create better and effective websites. The behavioral pattern is understood by analyzing the web log files maintained by the respective websites. The analysis of this work involves how many visitors browse the web site, which pages they view, which they ignore, how long they spend on the site, where they come from and find out the frequency of visitors. In this project, the web log files are analyzed to obtain the user access pattern of the various web pages in the web site. This information is then used to predict the preferences of the different users about the web site and it will give the reports how many number of visitors accessed in the particular website, how many number of unique IP addresses was used, find out the amount of bandwidth was used and finally how many number of hits of the site was received. The number of hits of the site was broken into with respect to time increment, daily usage of the report, day of the week, hour of the day. To learn more about the information that the visitors have accessed, we can see which how many web pages were viewed, how many files are downloaded, what are all directories were accessed and which images are looked at, in which web site. Referrer information includes the domains and URL's that the visitors came from.