Implementation of Intelligent Web Server Monitoring

Web sites are one of the most important tools for advertisements in international area for universities and other foundation. The quality of a website can be evaluated by analyzing user accesses of the website. To know the quality of a web site user accesses are to be evaluated by web usage mining. The results of mining can be used to improve the website design and increase satisfaction which helps in various applications. Log files are the best source to know user behavior. But the raw log files contains unnecessary details like image access, failed entries etc., which will affect the accuracy of pattern discovery and analysis. So preprocessing stage is an important work in mining to make efficient pattern analysis. To get accurate mining results user's session details are to be known.In our proposed work, user's browsing behavior on a web page is considered with different modes of actions on client side to calculate web page browsing time with more precision and accuracy. It helps us to maintain the accuracy in finding frequent web usage patterns and administrators to evaluate its website usage more effectively. In our proposed work we considered t, t1, t2 three time limits which are subjective to the website management. These values should be selected effectively because if we select small value it will increase load on client side and if we select large value it will not provide good results.

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