User Access Patterns In Web Log Mining Research And Applications

In recent years, data mining and application to the World Wide Web are active research fields. The application of data mining techniques to WWW, is referred to as Web data mining. Web log mining is a kind of Web data mining. It uses the idea of data mining to analyze and deal with the Web log, and discovers user access patterns from the Website logs, including association rules and sequential patterns, etc.We can improve the structures of Websites and the system design of Web application, monitor the server and provide individual service to users. In addition, Web log mining could optimize the design of the Web sites and improves the decision-making of the market by analyzing access path of the users who use the Web mining.The mining techniques of association rule and sequence pattern recognition techniques are deep studied in this paper. The relation or difference between algorithms and the strength or weakness of each algorithm is analyzed. The website http://www.crc.mofcom.gov.cn is deep studied and the traits of its structure and column and url numbering are discovered and summarized. More over, the techniques of data pretreatment are discussed in this paper. And corresponding data managing and transferring is implemented in the web log data. Based upon the deep study on related algorithms and the actuality of the website http://www.crc.mofcom.gov.cn, the paper combine the theory and practice together, complete the data mining process of the web log data of Jan 2006 in http://www.crc.mofcom.gov.cn. Through the process of data mining, the user access patterns are discovered. And based on the actuality of the website, this paper analyze the results of data mining, find out the improper setting of the website, then provide rational suggestions aim at the problems to improve the website.