Web-Logs Prediction with Web Mining

Web Mining is defined as the use of Data Mining techniques to extract information from web, automatically. Web Mining techniques are widely used to observe user patterns accessing the web server logs. Web logs are the entries of different users accessing different topics on the web and observed by web server. In this paper, the patterns are extracted from educational institute's website and observed by using WEKA tool. The number of visitors and hits and the bandwidth used by the users are all determined with different perspectives. This work is done to analyze user's behavior and their interests that will be used to predict the future patterns of the website.