Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

In recent decades, predicting the performance of students in the academic field has revealed
the attention by researchers for enhancing the weaknesses and provides support for future …

Some of the educational organizations have multi-education paths such as engineering and
medicine collages. In such colleges, the behavior of the student in the preparatory year …

Educational Data Mining has been an emerging topic nowadays due to the growth of
educational data. This field makes it possible to develop methods in order to find out hidden …

Tree-based models are increasingly popular due to their ability to identify complex
relationships that are beyond the scope of parametric models. Survival tree methods adapt …

This paper analyses the problem of predicting students' academic performance, a subject
that is increasingly investigated within the Educational Data Mining literature. For a better …

Abstract Machine learning has emerged as the most widely used tool in resolving
administrative and other educational-related problems like student dropout. Most of the …

Pruning is applied in order to combat over-fitting problem where the tree is pruned back with
the goal of identifying decision tree with the lowest error rate on previously unobserved …

Data Mining is a field in which hidden information is extracted from a large database by
using some algorithms implementation. These algorithms are further divided into some …