The Application Of Decision Tree In The Students' Result Analysis

With the development of database technology, the capability of collectin data was improved rapidly. And lots of data have been accumulated. There was a large amount of valuable information hiding behind these data. In order to analyze these data in a higher level and obtain the latent information to instruct work and life, data Mining technology is brought forward. The Data Mining is a procedure of distilling availabl information and knowledge from mass, incomplete and random data. The DataMining had been applied and studied in these years. And it has been applie in many domains successfully, such as business, finance and medical treatment. However, little is applied in teaching.Because of the sharp increase of the enrolled students'number, there are lots of problems which can influence the quality of teaching in the universities. For the purpose of providing reliable suggestions for teachers, In this dissertation, by taking the one collega for example a research project of scooping out the valuable information behind the students'results by using the Decision Tree is put forward.The Decision Tree technology, which is the main technology of the Data Mining classification and forecast, is the classifying rule that infer the Decision Tree manifestation through group of out-of-orders, the non-rule examples. The Decision Tree exceeds the others in the feature of well understanding, well training and achievable. Therefore, the Decision Tree technology was used in research of student result analysis.Based on the research background of the Data Mining, the Decision Tree was applied to result analysis for the purpose of improving the teaching quality.