Study on Data Mining of Active Library Users in Networked Economy Era

In networked economy era, the development of information technology has connected tightly with the development of network technology. In this paper, a complete decision tree for active library users is constructed by using the network database theory and data mining techniques, which is based on the information gain among attributes calculated by using the library circulation information and user information. The evaluation rules of the active library users are concluded through the decision tree, and the management mode of library users is also proposed. All these things can help to make decision for library to carry out specific and in-depth services.