A survey on predicting user behavior based on web server log files in a web usage mining

Abstract

A presently internet is most imperative part of human life. The internet is an growing day by day, so online users are also escalating. The interesting information for knowledge of extracting from such enormous data demands for new logic and the new method. Every user spends their most of the time on the internet and their behavior is different from one and another. The application of data mining techniques service to need of web-based applications. Web usage mining is leading research area in Web Mining concerned about the web user's behavior. This paper gives an attention on Web usage mining to predict the behavior of web users based on web server log files. Users using web pages, a frequent access path's and frequent access pages, links are stored in web server log files. A Web log along with the individuality of the user captures their browsing behavior on a website and discussing regarding the behavior from analysis of different algorithms and different methods.