The Student's Performance Mining And Analysis Based On Decision Tree

With the rapid development of database technology and database management systems widely used, people's ability to collect data has been greatly improved, which accumulated a large amount of datas. However,a lot of important and valuable informations hided behind the datas.In order to have a higher level of analysis for these datas,and use these potential information to guide future work and life, resulting in data mining.Over the last decade, data mining technology has been widely studied and successfully used in commercial, financial, medical and other fields. But in teaching field, there are still few applications of data mining, especially in secondary schools. In this paper, a reserch project of mining valuable information from student's test scores is performed. This project is based on the decision tree which is a important method of data mining and it will provide decision datas for the decision-makers of school to help them improve the management of teaching.In this paper, we first proposed the important meanings of using data mining in test scores analysis according to the current situation of the students' test scores management. Secondly, we used C4.5 algorithm to analyse test scores of different kinds of student and to find potential factors which affecting student test scores. Lastly, we evalueated the importance of the attributes using the "information gain" parameters to generate a decision tree model of student's test scores analysis, based on this model, we can evaluate the analysis and mining of student test scores.