Paper Info
Title
Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method
Abstract
Web usage mining is to analyze web log files to discover user accessing patterns of web pages. In order to effectively manage and report on a website, it is necessary to get feedback about activity on the web servers. The aim of this study is to help the web designer and web administrator to improve the impressiveness of a website by determining occurred link connections on the website. Therefore, web log files are pre-processed and then path analysis technique is used to investigate the URL information concerning access to electronic sources. The proposed methodology is applied to the web log files in the web server of Firat University. The results and findings of this experimental study can be used by the web designer in order to plan the upgrading and enhancement to the website.
Year
DOI
Venue
2009
10.1016/j.eswa.2008.08.067
Expert Syst. Appl.
Keywords
Field
DocType
path analysis,url information,meaningful data,firat university,electronic source,path analysis method,web usage mining,web server,experimental study,web page,web designer,web log file,web administrator,web log files,web mining,web design,web pages
Web development,Web design,Static web page,Web API,Data mining,World Wide Web,Web page,Computer science,Web analytics,Web log analysis software,Web modeling
Journal
Volume
Issue
ISSN
36
3
Expert Systems With Applications
Citations 
PageRank 
References 
16
0.64
18
Authors
2
Name
Order
Citations
PageRank
Resul Das123711.38
İbrahim Türkoğlu247433.96