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Teaching analysis based on association rule mining

机译:基于关联规则挖掘的教学分析

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摘要

Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students' course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.
机译:数据挖掘中的关联规则可以在大量数据集之间找到有趣的链接。利用改进的Apriori算法分析了学生课程等级,揭示了每章中的关系和对学习效应​​的影响,区分影响其成就的关键因素。之后,我们可以得出有价值的信息,为提高教学和学习效果提供指导。

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