Application of Fuzzy Association Rule Mining for AnalysingudStudents Academic Performance

摘要

This study examines the relationship between students’ preadmissionudacademic profile and academic performance. Dataudsample of students in the Department of Computer Science inudone of Nigeria private Universities was used. The preadmissionudacademic profile considered includes ‘O’ leveludgrades, University Matriculation Examination (UME) scores,udand Post-UME scores. The academic performance is definedudusing students’ Grade Point Average (GPA) at the end of audparticular session. Fuzzy Association Rule Mining (FARM)udwas used to identify the hidden relationships that exist betweenudstudents’ pre-admission profile and academic performance.udThis study hopes to determine the academic profile of studentsudwho are most admitted in the session. It determines students’udperformance ratings as against their pre-admission academicudprofile. This can serve as a predictor for admission committeeudto enhance the quality of the new in-take and guide for theudacademic adviser