Research Of Web Data Mining Applicated In Individualized Self-Service System Of Campus Network

Self-Service System is an important tool in the network service, which make the client can get the service by themselves, and manage the their network by themselves. It plays an important role in reducing the workload and making the network intelligentized. As the management in netwok is becoming more and more important, and the consciousness of servicee is increasing in the network management, introducing individual service system into the network management of university campus network is a new method to enhance the quality of service of campus network. Offering the different service to individual client according to their different interestings is the trend of development of modern network, whick will be significative to the management of capus network.This paper put forwards an model of individualized self-service system of campus network , and realizes the elementary function of thesystem. In addition, this paper discusses the application of Web data mining in the self-service system, and presents the idea and method of association rule discovery algorithm and cluster discovery algorithm. Also, the model of interface between self-service system and the existing system is elementarily researched in this paper, and the transplantable character of XML is discussed as well.