http://www.iaeme.com/IJCET/index.asp 12 editor@iaeme.com International Journal of Computer Engineering & Technology (IJCET) Volume 8, Issue 6, Nov-Dec 2017, pp. 12–22, Article ID: IJCET_08_06_002 Available online at http://www.iaeme.com/ijcet/issues.asp?JType=IJCET&VType=8&IType=6 Journal Impact Factor (2016): 9.3590(Calculated by GISI) www.jifactor.com ISSN Print: 0976-6367 and ISSN Online: 0976–6375 © IAEME Publication WEB USAGE MINING FOR UNDERSTANDING USER BEHAVIOR Satyam Ramawat and Prof. Deepthi Das Christ University, Hosur Road, Bangalore, Karnataka, India ABSTRACT 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. Key word: web mining, web usage mining, user behavior, web log-file, association rule. Cite this Article: Satyam Ramawat and Prof. Deepthi Das, Web usage Mining for understanding user Behavior. International Journal of Computer Engineering & Technology, 8(6), 2017, pp. 12–22. http://www.iaeme.com/ijcet/issues.asp?JType=IJCET&VType=8&IType=6 1. INTRODUCTION The data mining technique that is web mining allows extracting the hidden knowledge and information of a visited user from the web. It includes 3 types of mining; web content mining, web structure mining and web usage mining. “Web usage mining is the technique of data mining used to discover the hidden information of a user from web data, to understand and better serve the needs of a web-based application.” A web usage mining mirrors the conduct of client on web as they communicate with the web. Along these lines, web utilization mining is of extraordinary enthusiasm for e-promoting