Large-scale Research Project Management System Design with Multi-level Structure

The main work of a university is teaching and scientific research (SR). In this paper, an optimization model of large-scale SR project management information system (MIS) based on multi-level structure is proposed, and the accumulated SR information is mined by using the technology of association mining, in order to try to find the key factors that affect SR results, and make full use of the advantages of the network, so that the information management of SR projects in the whole school can be realized efficiently and scientifically through the network. The simulation results show that the information mining accuracy of this model is stable around ninety-seven percent, and the real-time wavelength tends to be stable, which is 18.44% higher than the traditional algorithm on average. It can provide scientific basis for leading, organizing, coordinating SR work between teachers and students and making SR decisions. Obtaining scientific basis and enlightenment through data mining (DM) can guide universities to seek reasonable teaching mode and guide teachers and students to carry out effective SR work, which can completely make universities develop healthily and steadily in a good direction.