Comprehensive Analysis of Web Usage Mining and its Tools

Web Mining can be defined as highly expressive tool which is used to fetch the required information. The distilled data can be used to ameliorate the Web Usage Mining. It helps in the prediction of next accessed by the user, financial data analysis, intrusion detection. There are different steps to clean the data and then it is analyzed through different techniques to find relevant results. To find the results Web SIFT tool is used. Web Usage Mining consists of three parts which Web Usage Mining, Web Content Mining and Web Structure Mining. From the studies it has been analyzed that Web Usage Mining deals with the how to predict the behavior of the users to increase efficiency of the website by collecting the log files from the server. Web Content Mining is used to find out the relevant information from the various documents of the web, while Web Structure Mining comprises of web pages as nodes and hyperlinks as edges.