The Web Mining Based On The User's Browse Interest

Given the high rate of the volume of data available on the WWW, finding useful information in such a large amount of data becomes a more difficult process every day. Data Mining is the term given to the automated discovery of non-obvious, potentially useful and previously unknown information from large data sources. In this paper, we first generally introduce the improvement of WWW and some problems unsolved. And then we describe the basic concepts and theories of data mining. This paper is dedicated to Web schema mining's data acquisition mode, the measurement and expressing of user's browse interest, and the main tasks are as follows: l. Analysing the present data acquisition fashion of Web schema mining, pointing out the shortage of the present data acquisition fashion, For example, because the non-state link of HTTP, it is difficult to get exact information of user's browse from Web log; proposing a method which comprehensively use the service log file and the client end data to get the user's browse information. 2. The interest is the selectivity attitude of objective matter of a person, and measuring user's browse interest exactly is the base of Web schema mining. According to the filed of Web usage schema mining, this paper analyses the present the shortage of the style of measure and expresses the browsing interest of user. For instance, the too simple measure fashion often leads to difficulty of distribution which is the user interested in or not; not considering the page information amount's influence on the user's browse time and so on. As a result, point out a method based user's browse behavior to measure the user's browse interest. 3.One of the direction of using mode dining studying in Web is how to express user's browse interest effectively. In this paper, we give a kind of expressing user's browser interest mode which is based on tree-type structure. The method based on user's browse behavior and expressing the user's browse interest in this paper improves the shortage of indigenous measurement and expresses the mode in data collection, interest measuring and interest expressing aspects, it can prepared for the further mining work better.