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)

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. THE BACKGROUND AND SIGNIFICANCE OF THE RESEARCH Data mining technology has created tremendous value and wealth for the retail industries, banking industries, healthcare industries and securities industries. Educational data mining technology has been widely used in schools in recent years. In previous teaching, a large amount of courses data, students' grades data, students learning behavior data, and students ' life data are stored in the educational 1Jingwei Diao, Yani Wang, Yiming Liu, Huansong Yang. Hangzhou Institute of Service Engineering, Hangzhou Normal University. Hangzhou, China.