Analysis of Association Between Students' Mathematics Test Results Using Association Rule Mining

Abstract

With the development of computers, the amount of data is rapidly increasing as it is able to process larger amounts of data than in the past. Data mining technology is finding its way to finding meaningful data in a lot of data. Data mining methods include classification, clustering, and association analysis. In this study, we use apriori algorithm, one of the association rule search methods, to analyze the relationship between mathematics scores and problem solving patterns of students through mathematics test data of students. Through the association rule search, the data belonging to the specific score category were able to analyze the correlation of the solution pattern to the specific problem.