Enhancing the Performance of the Website through Web Log Analysis and Improvement

Web log data offers valuable information insight into website usage. It represents the activity of many users over a potentially long period of time. In this paper we have analyzed the Web logs to determine different statistics like user’s hourly, daily and monthly average access statistics: such as number of Visits, Hits, total Pages, Files, URLs, Referrers, User Agents, total Kbytes, top search Strings, most popular requested Pages, and most popular Images. The complete web log data of one year have been collected from the Website’s main web server of an Educational Institution and an attempt has been made to enhance the performance of the Website through Web log analysis.

[1]  Pier Luca Lanzi,et al.  Mining interesting knowledge from weblogs: a survey , 2005, Data Knowl. Eng..

[2]  Haibin Liu,et al.  Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users' future requests , 2007, Data Knowl. Eng..

[3]  Mustafa Poyraz,et al.  ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING , 2007 .

[4]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[5]  M. Kantha Reddy,et al.  An Effective Methodology for Pattern Discovery in Web Usage Mining , 2012 .

[6]  Ahmet Arslan,et al.  Automatic discovery of the sequential accesses from web log data files via a genetic algorithm , 2006, Knowl. Based Syst..

[7]  R. Krishnamoorthi,et al.  Identifying User Behavior by Analyzing Web Server Access Log File , 2009 .

[8]  Mozambican Government Portal Case Study: Visitor Analysis , 2007 .

[9]  Mehrdad Jalali,et al.  A Recommender System for Online Personalization in the WUM Applications , 2009 .

[10]  Richard Weber,et al.  A methodology for web usage mining and its application to target group identification , 2004, Fuzzy Sets Syst..

[11]  Charmain Cilliers,et al.  Visual Web Mining of Organizational Web Sites , 2006, Tenth International Conference on Information Visualisation (IV'06).

[12]  Arvind Kumar Sharma.  EXPLORATION OF EFFICIENT METHODOLOGIES FOR THE IMPROVEMENT IN WEB MINING TECHNIQUES: A SURVEY , 2011 .