Research And Design Of Data Mining Based On Web Log

As the fast developing and spreading of Internet, Web usage information grows quickly. People begin to pay close attention to mining valuable information from large amount of data. The World Wide Web continues to grow at an astounding rate in both the size and the scale of traffic and complexity of Web sites design. Many design tasks suck as Web site design, Web server erecting, and of simply Web navigating has increased greatly along with this growth. Web Log Mining is the application of traditional data mining methods to analysis server logs in order to resolve the problem mentioned above.This article systematically expatiate the existing theory, technique and method,making a deeper discussion on the data mining process and the main technique of the process in Web log mining,mainly focused on the tasks of the data pretreatment, style discovering and association rule FP-Growth,and. A integrate web log processing system was made by designing and realizing of WebMiner. This application will provide a powerful support for the decision-make and the website management and exploitation.