The Application Research Of Data Mining Technique On Raising Accessing Speed Of Web User

The World Wide Web is a distributed global information resource. Data Mining is to automatically discovery non-obvious,potentially useful and previously unknown information in a large of data sources. So, valuable information can be obtained by data mining techniques intelligently and automatically. It is very significant to improve efficiency of the WWW and application values. In this paper,we first point out the existent network establishment bottle-neck of WWW and then fetch out the task of this paper. After the introduction of WWW,Data Mining,Web Data Mining, association rules and temporal association rules,we propose a new method to raise the speed of network with association rules and temporal association rules. By mining association rules from access logs,we can obtain the (temporal) association rules about the sequence of user transaction. Once the rules have been identified,the server can pre-fetch documents to the client. And the speed of network becomes "rapid". We discuss in detail the process of pretreatment of web log file, association rules mining of user session data set, actualizing page pre-fetch in server with association rules. Next, we concentrate raising the speed of network by temporal association rules in the same web and different web. We give the algorithm and the experiment, which shows that the pre-fetch system has upper optimize ability when a user visits a web page after mining temporal association rules from access logs and obtaining the space of time a user visit the next page. By this way,we can raise the speed of network effectively. Finally, we give a conclusion.