“Survey of Various Techniques for WebUsage Minning”

Web usage mining is the area of data mining which deals with the discovery and analysis of usage patterns from Web data, specifically web logs, in order to improve web based applications. Web usage mining consists of three phases, pre-processing, pattern discovery, and pattern analysis. After the completion of these three phases the user can find the required usage patterns and use these information for the specific needs. This paper presents several data preparation techniques in order to identify unique users and user sessions. It also provides a detailed information of various Web usage mining areas to work in. The survey of the existing work is also provided. Finally, a brief overview of the applications of Webusage mining (Letizia, WebSIFT, Adaptive Websites).