Data Mining And Implementation Of Digital Campus

Colleges and universities have expanded tremendously in recent years. Many institutions have more than 10,000 students. Meanwhile, great achievements have been made in digital construction. For instance, campus network has been established and a huge amount of information has been accumulated. However, information can become a heavy burden if it is not fully utilized. The purpose of this article is to use data mining to collect useful information, whereby making information data a true resource to enable universities to make decisions and strategies.The article emphasized on how to develop and apply data mining technique within the digital campus. Data mining has been widely applied in many other areas, such as finance, telecom, and sales sector. Successful cases have been reported. Yet it has not been the case for its application in digital campus.The article gave a detailed introduction to data warehouse, OLAP, and data mining, followed by the model and construction process of data warehouse together with mining model of association rule and decision tree model. Based on that, data warehouse, OLAP, and data mining were practically applied using library information system in a digital campus as the platform. That is applying the analysis model of reader borrow established by associational rule and applying the model of reader classification established by decision tree belong to classification method. At the end, the whole mining application system, its functional module, and essential techniques for actualization were discussed. We hope that the application in the library may eventually pave the way for data mining to be applied in labs and registrar offices, so that data mining system can be ultimately set up for a digital campus.