| Data mining(DM) is the results of development evolution of information technology, the recent years, with the expansion of college enrollment, the amount of information also will be a significant increase in. performance management systems currently used in schools to the data processing is also more limited increase, delete, change, search and other operations, These operations are low-level applications of performance database, the lack of integration and depth analysis to accumulated data and let alone automatic access to information.As a university, and its fundamental task is teaching and educational work through to cultivate high-level talents, therefore teaching has always been the central task of the school. The focus and the keys of higher education is to improve the quality of education.And student achievement is precisely the important basis for assessing the quality of teaching, it's an important indicator of testing whether students have learned to master an important indicator of knowledge, therefore, the data mining of student achievement has great significance, and it's also can get feedback to guide teaching and research. In this paper, a large number of student achievement information on the use of data mining techniques to discover an interesting correlation between these data and help administrators, teachers and students to understand the association between education, this is the determination of educational programs for schools to carry out a more targeted personalized education and cultivate a unique and creative high-level personnel.The paper through the analysis of association rule mining algorithm, an improved association rule algorithm is applied to mining student achievement. The sql server 2005 as a back-end database for mining the student achievement in which be stored. Finding out the association between curriculum and the results will be analyzed, used to guid students and to help modify the development of how to cultivate talents. |
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