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Knowledge Discovery from Students’ Result Repository: Association Rule Mining Approach
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International Journal of Computer Science and Security (IJCSS)
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Volume:  4    Issue:  2
Pages:  149-264
Publication Date:   May 2010
ISSN (Online): 1985-1553
Pages 
199 - 207
Author(s)  
 
Published Date   
10-06-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Association rule mining, Academic performance, Educational data mining, Curriculum, Students’ Result Repository 
 
 
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Over the years, several statistical tools have been used to analyze students’ performance from different points of view. This paper presents data mining in education environment that identifies students’ failure patterns using association rule mining technique. The identified patterns are analysed to offer a helpful and constructive recommendations to the academic planners in higher institutions of learning to enhance their decision making process. This will also aid in the curriculum structure and modification in order to improve students’ academic performance and trim down failure rate. The software for mining student failed courses was developed and the analytical process was described. 
 
 
 
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1 N. Saleeb and G. Dafoulas, “Analogy between Student Perception of Educational Space Dimensions and Size Perspective in 3D Virtual Worlds versus Physical World”, International Journal of Engineering (IJE), 4(3), pp. 210 – 218, 2010.
 
 
 
 
 
Olanrewaju Jelili Oyelade : Colleagues
Oladipupo, Olufunke Oyejoke : Colleagues  
 
 
 
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