基于Apriori算法的学生课程关联性研究

Study on student curriculum relevance based on apriori algorithm

随着大数据技术的面世和“智慧校园”概念的提出,挖掘成绩与课程之间的隐藏信息和潜在关联成为21世纪的研究热点,数据挖掘技术中的关联规则可以为挖掘出成绩数据和各门课程之间的联系提供技术支持.本文首先简明介绍智慧校园的发展阶段和成绩分析系统的主要框架,其次提出挖掘成绩、课程信息的关联规则和Apriori算法,最后以10名学生的5门课程为例,利用Apriori算法对这些数据进行分析挖掘,发现有3门课程之间存在关联.

With the advent of big data technology and the proposal of the concept of“smart campus”,the hidden information and potential association between mining scores and courses has become a research hotspot in the 21st century.Association rules in data mining technology can provide technical support for mining the connection between grades and courses.This paper first briefly introduces the development stage of smart campus and the main framework of the achievement analysis system;Then,association rules and Apriori algorithm for mining scores and course information are proposed.Finally,taking five courses of ten students as an example,the Apriori algorithm is used to analyze and mine these data,and three courses are found to be correlated.