Abstract
This paper proposes the utilization of rough set theory for predicting student scholar performance. The rough set theory is a powerful approach that permits the searching for patterns in e-learning database using the minimal length principles. Searching for models with small size is performed by means of many different kinds of reducts that generate the decision rules capable for identifying the final student grade. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Udristoiu, A., Udristoiu, S., & Popescu, E. (2014). Predicting students’ results using rough sets theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8669 LNCS, pp. 336–343). Springer Verlag. https://doi.org/10.1007/978-3-319-10840-7_41
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