Application of Data Mining on Students´ Quality Evaluation

University students´management, especially the decision-making part, is very heavy and complicated, so it may have subjectivity without scientific measures. As key index in students´ integrated development evaluation, students´ quality evaluation achievements play an important role in their development. This thesis puts forward decision support system for students´comprehensive evaluation based on data mining. On the basis of brief introduction to definition of data mining technique, mining process and routine method, this thesis emphasizes study on application of association rules analytic method in students´ comprehensive evaluation. By means of data mining, it analyzes data of students´ comprehensive evaluation achievements and gets some useful results, which will aid decision making in university students´ objective evaluation and play as guidance for scientific management and evaluation of students.