Research And Application Of Data Mining In Undergraduate Teaching Quality Assessment

Data warehouse and data mining are the most active branches of the database studying, developing and application, also the key factors of DSS. Data warehouse is a decision supporting, subject-oriented, integrated, stable and time-dependent on data set; data mining is the process of analyzed data and acquire knowledge from database and data warehouse using the method of artificial intelligence. The combine of them will provide the strong decision analyzing for related departments.Most of the previous teaching management systems are the On-Line Transaction Processing (OLTP) systems, which have no ability of supporting synthetic analysis and making decision ,and inadequate to utilization of hidden knowledge from vast history data set. Analysis of the data in teaching management is an important way to teaching evaluation. It is necessary to guarantee the quality of teaching and improve the stuff of students analyzing the data made in processes of tests and teaching and then supporting the teaching with the results.Through studying the theory of data warehouse and data mining, and finding the characteristics of students test score, this paper use them, data warehouse and neural network, one of the data mining techniques, to analysis the data of teaching management.This paper introduces the new techniques, data warehouse, and design the data warehouse about the teaching management system, then analyze the potential rules of data by using BP neural network.