Study on student score based on data mining

Education is a complex systematic engineering, which is the guarantee of training high-quality talent, helping society make full use of educational outcomes and promote the healthy development of education. In the education, the students' score is a very important quantitative evaluation indicator, which can objectively reflect the effects of educational system and is an important basis to make lots of scientific decisions. This paper uses clustering algorithm and decision tree to comprehensively analyze the students' score, and obtains useful results. It can be observed that the results are valuable for the teaching and management.