Decision Support System Based On Chinese National Enterprise Information Network

Along with the development of the Internet technical,network resources also grow fast.So how to make the Internet customers acquire the resources which are needed effectively and quickly,become a very important problem for the website designers to resolve.The decision support system based on Chinese national enterprise information network,using the data mining technique in the web log mining, mining the log of the server to acquire the access mode of the customer, analyzing and studying the regulation of the log to improve the organization structure and the service of the website.The thesis combine the theories and physically applied together,developed the decision support system based on Chinese national enterprise information network,and do deep research follwing:1.Analyzed the mining processing of the web log and the web log collection,then analyzed the four steps in the preparing of the web log processing:data clean,user identification,session identification and path supple,also give the process flowing,a research of data preprocessing in web log based on temporal database.2.Analyzed the Apriori algorithm,and put forward a new algorithm of apriori.From the experiment we know it is right,also the algorithm can economized time and raised the efficiency.3.Using the topology structure and and web log of the Chinese national enterprise information network,develop the decision support system based on Chinese national enterprise information network.The system based on the MVC model,realize by using the Java and SqlServer technique.The system mainly do two things:statistic the access information,such as daliy accessing;to mining the website use the apriori algorithm,to discover the hidden path and rule which the user visited.The decision support system based on Chinese national enterprise information network can provide basis to the web decision maker and the web designer when improving the website structure and the website function.If further study , can carry out the self-adaptability of the website and the technique of the prediction of user browsing behavior.