Based On User Behavior Analysis Campus Network

With the rapid development of the Internet and education information.Campus network as an important platform for scientific researching, teaching, information exchanging, has become an important index to measure the modernization and information of campus construction. However, with the continuous expansion of the campus network and the increasing number of network users, it also brings some negative effects. Some students are addicted to the Internet, spending lots of time and energy and occupy most of the bandwidth. So the analysis of the campus network user behavior is very necessary.This paper is based on the campus network of Kunming Medical University and the data source is the database of user records. On the platform of SQL Server2008, having data preprocessing, data classification (office users and students).And then do online distribution and connection of online time t statistical analysis.Finally analysis the online number and traffic of every day. On the platform of Microsoft Visual Studio, established a data mining model of clustering analysis and use K-means algorithm. Paper finally analysis the student users have daily online time is more than10hours, and based on the age and gender to analysis the characteristics of the students and give reasonable measures and suggestions.For the aspect of network management, behavior analysis can make network administrators have a better understanding of campus network and also provide powerful basis for net manager to take some measures to improve the network. For the aspect of school administrators, behavior analysis can make school managers to understand the student’s preferences, and dependence of online network, prevent the students addicted to the Internet.