Mining web logs: an automated approach

Authors:
G. Sudhamathy
Affiliations:
K.L.N. College of Information Technology, Pottapalayam, Sivaganga, Tamilnadu, India
Venue:
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Year:
2010

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Abstract

Web Log files need to be analyzed to identify usage and access trends and to provide useful information to web site developers and administrators so as to create adaptive web sites. In this work we propose a general automated approach towards collecting and mining useful information from web log files that follow the Extended Log File Format proposed by W3C. The novelty of this work involves proposing of optimized pre-processing, storing and mining procedures and utilization of relevant tools for pattern analysis.