Intelligent Web Server Navigation Usability and Web Usage Data Mining for Improving Users Satisfaction

By analyzing web server logs, Web workload was characterized and used to suggest performance enhancements for Internet Web servers. Web server’s logs represent actual usage. Such data have been used for usage-based testing and quality assurance and also for understanding user behavior and guiding user interface design. Our propose work will improve data quality of web logs by further filtering out more URL requests comparing with traditional data cleaning methods.We propose a method which can filter out plenty of irrelevant log values based on the complex prefix of their uniform resource locator. We have collected dataset from different web sites of web server. Our proposed method improved the approach to discover web usage pattern in an application and web server usability system. Such analyses might be more meaningful and yield more interesting results for Web applications with complex structure and operation sequences.It also improved the web user’s overall satisfaction. Our proposed work also improved the performance of web server. Experimental results analyzed at the trail level instead of at the individual page level. Keywords-Data mining, Web Server Logs, Usage Mining, Proxy Server, Web Navigation