eMineProve: Educational Data Mining for Predicting Performance Improvement Using Classification Method

• Published in: IOP conference series. Materials Science and Engineering Vol. 649; no. 1; pp. 12018 - 12025
• Main Authors: Rosado, Jovel T., Payne, Angelica P., Rebong, Corazon B.
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.10.2019
• Subjects: Academic achievement; Classification; Colleges & universities; Data analysis; Data conversion; Data mining; Decision analysis; Market strategy; Marketing; Middle schools; Model accuracy; Performance prediction; Prediction models; Secondary school students; Secondary schools; Students

Today, Data mining has become a universal tool for converting data into useful information and knowledge. Student's academic performance is a crucial factor in building their future [3]. In this study, the classification method is selected to be applied on the students' data. Classificatio...