Based On Data Mining Undergraduate Research Evaluation Management Information System

In recent years, with the rapid development of China's higher education, to ensure the quality of professional construction, Shanghai Municipal Education Commission launches "new profession inspection" and "bachelor's degree authorization inspection" every year according to the different phases of professional construction. The aim of the inspection and evaluation is to reinforce the guidance and the management of the newly-established undergraduate professional construction.Data mining technology is currently a hot issue of the application, research and development of database. Through the analysis of large amounts of data in the database, it discovers hidden information and gets access to knowledge to provide support for decision making. In the first place, the thesis makes a systematic analysis and study of the data mining technology and especially the rule and the application of association mining, and then discusses its hot research field and development direction, which constitute the theoretical basis of thesis.Based on ASP + SQL SERVER 2000 platform, B/S structure and waterfall model, an undergraduate professional evaluation management information system is designed, developed and implemented in the subject of the thesis. The system can achieve the main functions of the dynamic management of evaluation materials and evaluation data collection and has featured functions such as target comparison and horizontal professional data comparison. Taking into account the development of evaluation index and the compatibility and scalability of the system, regular expressions and AJAX technology are applied into data table management and authentication.Then, the thesis describes in detail the application of data mining to a number of specific professional elements, getting important hidden information from complicated professional data, conducting evaluation analysis of professional teaching quality by Apriori way of association rules, analyzing the reasons for the influence of design paper quality, and discussing the professional development direction and research priorities of data mining technology.