Web-based Mining Site Design Study

In Internet technology swift and violent development today, facing Web on vast like smoke sea data message, how helps the people effectively to collect, the choice and the memory is interested the information as well as in the information which increases day by day was discovering the new concept and between them the relations, enable it to achieve the information processing the automation, has become the nowadays IT research the hot topic. But the data warehouse (DW) and the data mining (DM) the technology , is helps the people to carry on the intelligence from the magnanimous information , automatic extracts and purifies the valuable knowledge , promulgates contains behind these data the objective world inner link and the rule, the solution society develops the actual problem and uses in the macroscopic auxiliary decision-making. How carries on the complex application to on the Web magnanimous information , solves the data application quality problem, the full use useful data, is now the data mining technology most important application .Although the traditional database and data mining have been developed well and their theory and technology is full-blown, the structure of web data has their own characters so that the traditional technology cannot apply to the information mining on Web directly. The Web log contains the visit information of all users, especially the user traversal path information. It is important and necessary to find useful information in web log. The analysis of this kind of information is useful for Website designer to know the users' tendency and custom. The designer can use the results of analysis to optimize the structure of website and reorganize the structure of webpage.The designers should consider adjusting Site, the user is concerned more about the real-time information intensify the efforts put into the inquiry, how to find a better way to optimize the structure of the website strategy to identify in advance those traditional website to the client. in order to better service for his customers, and improve the maintainability website, rich, convenient for the education office automation network. Traditional association rule techniques aim to mine some relation between transaction items from databases consisting of a set of transaction records. In this work, we try to introduce the notion of association rule into the web mining system and represent the user traversal path in the form of association rule. The aim is to discover the visit pattern from web log.The mechanism of mining web log are studied based on association rule finds, Web data mining categories, study contents and study statues at first, the clear problems involved in Web log mining are: how to preprocess the raw web log data and how to design efficient data mining algorithms. Focusing on these problems, this paper studies and summarizes the preprocessing technology, then takes advantage of the idea of the Apriori algorithms and proposes a method of mining user browsing patterns. It presents an effective algorithm of mining traversal path patterns. In finally, we apply universities web into practice.