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.
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Udristoiu, A., Udristoiu, S., Popescu, E. (2014). Predicting Students’ Results Using Rough Sets Theory. In: Corchado, E., Lozano, J.A., Quintián, H., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2014. IDEAL 2014. Lecture Notes in Computer Science, vol 8669. Springer, Cham. https://doi.org/10.1007/978-3-319-10840-7_41
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DOI: https://doi.org/10.1007/978-3-319-10840-7_41
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