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Study and Application of Apriori Algorithm in Students' Behavior of Taking Courses

机译:APRIORI算法在学生课​​程中的行为中的研究与应用

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Association rule mining is the core technology of data mining. The Apriori algorithm is introduced and applied to the process of students taking courses and teaching themselves by a network teaching system. On the basis of large amounts of data, frequent itemsets will be found by the Apriori algorithm. The frequent itemsets describe the relation between students' characteristics and their behavior of taking courses. According to these relations, when a new student first takes courses, the teaching system can intelligently predict his/her tendency of taking courses and recommend appropriate courses to him/her.
机译:协会规则挖掘是数据挖掘的核心技术。介绍了APRiori算法,并应用于学生采取课程的过程,并通过网络教学系统教授自己。在大量数据的基础上,APRiori算法将找到频繁的项目集。频繁的项目集描述了学生的特征与课程的行为之间的关系。根据这些关系,当一名新生首次采取课程时,教学系统可以智能地预测他/她的课程倾向,并为他/她推荐适当的课程。

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