The Research of Preprocessing and Pattern Discovery Techniques on Web Log Files

The increased on-line applications are leading to exponential growth of the web content. Most of the business organizations are interested to know the web user behavior to enhance their business. In this context, users navigation in static and dynamic web applications plays an important role in understanding user's interests. The static mining techniques may not be suitable as it is for dynamic web log files and decision making. Traditional web log preprocessing approaches and weblog usage patterns have limitations to analyze the content relationship with the browsing history This paper, focuses on various static web log preprocessing and mining techniques and their applicable limitations for dynamic web mining.