Application Of The Data Mining On Student's Evaluation System

In recent years, with the database scale growing and the development of artificial intelligence, Data Mining , as a new information technology, is developing rapidly. Data Mining focus on finding the valuable knowledge. And association rules mining is an important research topic in Data Mining area.The past few years, with the development of the post-graduate , and the difficult problem of the employment of university students, graduate enrollment scale had expand continually. The quality of the enrollment has not been as well as before. So it's the key how to improve the quality of the graduate enrollment. The paper use Data Mining Technology, and the association rules analysis, and the Apriori algorithm to find the related information about the quality of the graduate enrollment. To provide support for the colleges'decision-makers and teachers. First of all, the paper introduces the Data Mining Technology; then focus on understanding the association rule mining and the Apriori Algorithm; at last achieve the evaluation system of the students by using the association rule mining and the Apriori Algorithm, then get the conclusions about the quality of the graduate enrollment from two different aspects: the students with exemption of examinations and others in the examinations.