Web Log Mining In Optimizing Education Site The Application

Along with the vigorous development of internet, the website based on the internet has been growing frequently, with a large number of people visiting the internet everyday. In order to provide more convenience for the users and improve the loading-capacity and application-support of the internet, we need to optimize and renew the internet, thus perfecting the organizational structure and layout of the website as well as the linkage between the WebPages. It has become people's attention to properly arrange the internet organizational structure and optimize the internet.Web server records the entire visiting log, the detail of client terminal request, such as the request resource, request time, client IP, Server IP, number of sending and receiving bytes. Through analyzing the log of Web SERVER, we can know the general situation of the website visiting so as to find the association rule between the users when they browse through the webpage. Meanwhile, we can analyze the rules and apply some of the useful ones to the network construction to achieve the optimization of the teaching resource.The research aims at the combination of web log digging and network optimizing. And it will be applied to the educational website optimization. By taking the example of the campus website of Zhengzhou Vocational College of Economy, we execute log file mining and pre-treatment of the server terminal; comparing the advantages and disadvantages of different Web Log Mining and applying Apriori to log-mining, we aims at the association rule when users browsing through the WebPages. The specific optimizing plan has been finally achieved by setting private float minConf and private Integer, extracting useful rules and applying them to the network optimizing. This paper mainly aims at the following analysis and research:The pre-treatment to the log file on the end of the educational website server according to the requirement for the data about the Apriori Algorithm for Mining Association; Applying Apriori Algorithm for Mining Association and analyzing the log file after the pre-treatment to the data so as to achieve frequent itemsets and association rules, thus discovering the concealed user browsing model and frequent visiting model.Analyzing the association rules; finding the association between the WebPages; knowing about the webpage structures and contents users are interested in; finding the problems existing in the webpage structure and contents and proposing the solution to the problem; finally applying the useful models to the network optimizing.Putting forward to the specific optimizing plan and improving the function of the educational website as well as its organizational structure and the linkage between the WebPages;...