Research Of Data Mining When Analyzing The Marks Of College Students

It is the aim that each university makes great efforts to improve student's achievement, because the quality of teaching in a university is based on students'achievement. Enrolment expansion results in the increasing quantities of students in campus. With the development of society, the factors that affect students'academic records are also becoming more and more. In such situation, the analysis of students'achievement is even more important. Analyzing their achievements from large amount of data and existing regulations, educators can predict the possible results. Thus, teachers can get some pointed advice on how to teaching effectively. So this paper has introduced Data Mining being on the rise in recent years to do achievement analysis, and expected to find the basic reasons affecting achievement and causes related. Thereby, educators can work out the corresponding measure and improve the quality of education.With the help of full awareness of data mining and data warehouse, the author first systematically studies various kinds of technical implements, methods, patterns and how to use data mining; and analyzes in detail each of the existing models and their environment when operated. Secondly, the author introduces the technology of data mining on the basis of researching decision tree and clustering. Finally, with the help of the above-mentioned theory, the author has designed a program and built new mining mode by aiming at the various models that analyze student achievement and at last has gotten new and more valuable discipline by studing the relationship between students'achievement and time, course , year , age , descent and so on.