WEB USAGE MINING FOR UNDERSTANDING USER BEHAVIOR

The web usage mining is the technique to realize the hidden knowledge and information for the web user. A Web user is a person who accesses the internet and surf or visits web pages of website from any device. Web server log files are used as the data source in web usage mining. When a user visits the web pages of the website, then they leave colossal information behind in the web server log file. Examining the web server log file lead us to understand the user behavior on the internet. Web server log file includes two type of log information that is web server access and application server. So, web log file is an essential fragment of web mining which mines the hidden knowledge of user like internet usage pattern and visits characteristics. Our primary focus is to identify web pages visited by user most by using web mining technique. This classification will help us to determine the behavior of a user on the web. We have used pre-processing methods, then classification technique to extract the hidden knowledge and information of a user from browsing pattern.