Research on the Application of Educational Data Mining Technology Based on Association Rule in Students' Grades Analysis (Taking the Computer Science and Technology Major of HZNU as an Example)

Abstract

With the advent of the era of Big Data, the data of education system in every school are increasing exponentially every day. To explore the hidden value of education data, provide targeted guidance for students in different situations. Based on the association rule in educational data mining technology, this paper uses the Apriori algorithm in the classification of association rule in IBM SPSS Modeler to analyze the final grades of compulsory courses for college students to find out the association rule between the courses. The purpose of this paper is to provide reference for the school to use data mining technology to analyze students' grades, improve teaching quality and provide scientific basis for decision-making.