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Predicting students’ grades using fuzzy non-parametric regression method and ReliefF-based algorithm
Journal: Advances in Computer Science : an International Journal(ACSIJ) (Vol.3, No. 2)Publication Date: 2014-03-31
Authors : Javad Ghasemian; Mahmoud Moallem; Yasin Alipour;
Page : 43-51
Keywords : Educational Data Mining; Predicting Marks; Fuzzy Non-parametric Regression; KDD; ReliefF; WEKA; Matlab;
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Abstract
In this paper we introduce two new approaches to predict the grades that university students will acquire in the final exam of a course and improve the obtained result on some features extracted from logged data in an educational web-based system. First w ...
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Last modified: 2014-04-05 20:56:46