Analysis of Website in Web Data Mining using Web Log Expert Tool

Nowadays, web data mining has become an easy and important way to find valuable information. Its main objective is to evaluate and model the logs on the web server and find true patterns. Typically, the web mining process automatically determines the usage behavior of site clients. It uses web usage analysis using information mining techniques to learn informative data hidden in the web server log file. The extracted data from server’s logs is a client access design that involves user behavior patterns. Understanding the user’s frequent access patterns allows the website to further develop user interested things in the web space. In this paper, we use Web log expert tool to analyze the website of institution. It assesses the significant data about visitors, top, error, web browsers and various stages utilized by website users. This tool helps in evaluating the viability of the website in real time.