The basic role of web usage mining is to capture, analyze, and web server logs. Usually, it personally discovers the usage behavior of Website users. We have been implemented a web mining tool to analyze the web server log file of the Website. It evaluates about total hits, page views, visitors, top errors, web browsers used by the website users mostly. The get information shall increase the effectiveness of the website. With the advanced technology and growing of the internet and world wide web (WWW, W3), many web access log records are being collected in the form of a web log file. The focus of this paper is on web mining usage patterns of an educational institution web data. There are three types of web related log data namely weblog access log, error log, and proxy log data and collect the data in web server to implemented a weblog Expert tool on web server log file to evaluate the significant quality of web log files based on the reports analyzer. We exploration the activity statistic by daily based, hourly based weeks and monthly based report of web usage pattern. The aim is to capture, model and analyzer the behavioral patterns and profiles of users interacting with a web site. Keywords: Data Preprocessing, Pattern Analysis, Pattern Discovery, Web Usage Mining.