Investigation and Analysis of Current Web Mining Techniques as well as Frameworks

Everyone using the Web, experiences how the connection to a popular web site may be very slow during rush hours and it is well known that web users tend to leave a site if the wait time for a page to be served exceeds a given value. Therefore, performance and service quality attributes have gained enormous relevance in service design and deployment. This has led to the development of Web benchmarking tools largely available in the market. One of the most common critics to this approach, is that synthetic workload produced by web stressing tools is far to be realistic. Moreover, Web sites need to be analyzed for discovering commercial rules and user profiles, and models must be extracted from log files and monitored data. This paper deals with a benchmarking methodology based on the integrated usage of web mining techniques and standard web monitoring and assessment tools.