Design Of Enterprise Information Network User Decision Support System

With the development of the internet technology and e-business, a problem has came out that how to use Web logs to find out new useful information resources. This problem is not only paid attention by Web managers but also a new hotspot in the field of e-business, management science and artificial intelligence and other fields. The notion of enterprise information network user decision support system design is based on Data Mining technology, WebLogs mining which mines the logs in the sever to get users'accessing modes, and through analyzing and researching the rules of users'accessing, in order that this new problem can be solved.At first, the situation of study and developmental trend of home and abroad about Decision support system are described, the process and method of Data Mining are introduced, and the concept of association rules and the amelioration of Apriori algorithm are expatiated; secondly, the principle of enterprise information network user decision support system is expatiated, the need of the system is analyzed, and the logical construction and functional modules of this system are designed; at last, on the background of Chinese National Enterprise information network, Chinese National Enterprise information network decision support system is designed, and the central function is realized.Backoffice understratum of Enterprise information network user decision support system is designed marcato in this paper, which solves the problems as follow:1. In view of the problems of Web logs mining in the every type of MINETs, combining with the technology advantages of Data Mining, the system design plan is proposed, and functional modules of this system are designed in detail.2. According to the need of this system, database, model base and way base subsystem of this system are designed, the Web pages clustering model and Web users clustering model based on the URL-User ID incidence matrix are built. The representation of the URL-User ID incidence matrix of users'browsing behavior is stated.3. According to the design of enterprise information network user decision support system, Chinese National Enterprise information network decision support system is developed. The system is refer to two facets:one is the statistics of visting information, such as he number of visits, the other one is using Apriori algorithm to process Data Mining and to find the paths and rules of hidden visitors'accessing.In allusion to the common Web sites, enterprise information network user decision support system is proposed, Chinese National Enterprise information network decision support system is practically applied. This system has good expansibility and reusebility. This paper makes a primary exploration, and it needs more exploitation and perfection in practice.