We provide comprehensive analysis based on extracted data from the software tool. For instance the tool extracts most visiting pages, the favourite pages of users, download rate and session rate of users, the predicted times that a particular user visits a site, uptime and downtime of a particular user, and several other valuable information. We have implemented a software tool that extract various and valuable data from log files of any website. These helpful information assist us to analyze the behavior of users. For instance, the time and the date that an IP address creates a session or the requests that an IP address has issues during a sessions.
Normally, any website logs the action of its users in a file. Also, it assists a website to recognize the robot machines from human users without using the CAPTCHA puzzles. Moreover, analyzing the behavior of users makes a great opportunity for a website to predict the behavior of its users in future sessions. By studying the behaviors of users, a website can modify and reconstruct its structure to present its information with high quality to its users. Issues such as sociology, psychology, economics and interest to computer science products make these different views. Our analysis show that users have different views when encounter with a problem and structure of a website. This manuscript studies and analyzes the user behavioral model of a website.
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