The World Wide Web provides colossal volume of data to the internet users and grows at a rapid pace every day. The server creates log files regarding the page, IP address of the user, agent, operating system and time stamp and this data is mined to extract useful information using web usage mining. The primary objective of this paper is to find the browsing behavior pattern of the users from the log files using a novel algorithm named “Frequent Pages Constellation Algorithm”. The FPC Algorithm groups the frequent pages browsed by the users and the results produced is utilized for personalization, forecast market vogues, enhances marketing strategies, improve website page positioning, site restricting etc. The experimental results showcased that the proposed FPC algorithm generates very less candidates, takes very less execution time and utilizes low memory