In view of the relationship between course setting and course grades, valuable information hidden behind student grades can be found through comparative analysis. A simple data mining system was designed and developed. The system includes four modules: data acquisition, data preprocessing, association rule mining, and rule result analysis. By mining student grade data, the association rules hidden in it can be found, and rules and conclusions with practical value can be obtained, thus providing decision support for teaching management personnel to optimize course setting.
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