Application of Fuzzy Association Rule Mining for Analysing Students Academic Performance
This study examines the relationship between students preadmission
academic profile and academic performance. Data
sample of students in the Department of Computer Science in
one of Nigeria private Universities was used. The preadmission
academic profile considered includes 'O' level
grades, University Matriculation Examination (UME) scores,
and Post-UME scores. The academic performance is defined
using students Grade Point Average (GPA) at the end of a
particular session. Fuzzy Association Rule Mining (FARM)
was used to identify the hidden relationships that exist between
students pre-admission profile and academic performance.
This study hopes to determine the academic profile of students who are most admitted in the session. It determines students performance ratings as against their pre-admission academic profile. This can serve as a predictor for admission committee to enhance the quality of the new in-take and guide for the academic advisers.
Keywords: Data mining, Fuzzy Association Rule Mining, Students Pre-admission academic profile, Academic Performance, Grade Point Average
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ABOUT THE AUTHORS
Olufunke O. Oladipupo
Olufunke. O. Oladipupo recieved her Bachelor degree in Computer Science, 1999, M.Sc degree in Computer Science, 2004 and Ph. D in Computer Science. Dr. Oladipupo, O. O. is a senior faculty member in the Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. Her research interests include Artificial Intelligent, Data Mining, and Soft Computing Technique. She is a member of Nigerian Computer Society (NCS), and Computer Professional Registration Council of Nigeria (CPN).
Olanrewaju. J. Oyelade
Oyelade recieved his Bachelor degree in Computer Science with Mathematics (Combined Hons) and M.Sc degree in Computer Science from Obafemi Awolowo University, Ile-Ife, Nigeria. He obtained his Ph. D in Covenant University, Ota, Nigeria. Dr. Oyelade, O. J. is a senior faculty member in the department of Computer and Information Sciences, Covenant University, Ota, Nigeria. His research interests are in Bioinformatics, Clustering, Fuzzy logic and Algorithms. He is a member of International Society for Computational Biology (ISCB), Africa Society for Bioinformatics and Computational Biology (ASBCB), Nigeria Society of Bioinformatics and Computational Biology (NISBCB), the Nigerian Computer Society (NCS), and Computer Professional Registration Council of Nigeria (CPN).
Dada. O. Aborisade
Aborisade Dada Olaniyi holds Bsc, Msc in Computer Science. He is a lecturer in the Department of Computer Science, College of Natural Sciences, Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. He has ten years of teaching with four years of Teaching/Research in University Environment. His research interests are Human Computer Interaction (HCI), Information Security and Fuzzy logic. He is a member of Microsoft IT Academy, Nigeria Computer Society (NCS) and Microsoft Certified Professional (MCP).
Olufunke O. Oladipupo
Olufunke. O. Oladipupo recieved her Bachelor degree in Computer Science, 1999, M.Sc degree in Computer Science, 2004 and Ph. D in Computer Science. Dr. Oladipupo, O. O. is a senior faculty member in the Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. Her research interests include Artificial Intelligent, Data Mining, and Soft Computing Technique. She is a member of Nigerian Computer Society (NCS), and Computer Professional Registration Council of Nigeria (CPN).
Olanrewaju. J. Oyelade
Oyelade recieved his Bachelor degree in Computer Science with Mathematics (Combined Hons) and M.Sc degree in Computer Science from Obafemi Awolowo University, Ile-Ife, Nigeria. He obtained his Ph. D in Covenant University, Ota, Nigeria. Dr. Oyelade, O. J. is a senior faculty member in the department of Computer and Information Sciences, Covenant University, Ota, Nigeria. His research interests are in Bioinformatics, Clustering, Fuzzy logic and Algorithms. He is a member of International Society for Computational Biology (ISCB), Africa Society for Bioinformatics and Computational Biology (ASBCB), Nigeria Society of Bioinformatics and Computational Biology (NISBCB), the Nigerian Computer Society (NCS), and Computer Professional Registration Council of Nigeria (CPN).
Dada. O. Aborisade
Aborisade Dada Olaniyi holds Bsc, Msc in Computer Science. He is a lecturer in the Department of Computer Science, College of Natural Sciences, Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. He has ten years of teaching with four years of Teaching/Research in University Environment. His research interests are Human Computer Interaction (HCI), Information Security and Fuzzy logic. He is a member of Microsoft IT Academy, Nigeria Computer Society (NCS) and Microsoft Certified Professional (MCP).
