Predicting students' performance has emerged as an attractive task among researchers.
They use supervised and unsupervised educational data mining (EDM) techniques to build …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …

Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …

Educational systems need innovative ways to improve quality of education to achieve the
best results and decrease the failure rate. Educational Data Mining (EDM) has boomed in …

A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …

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 …

Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …

Educational Data Mining (EDM) is used to extract and discover interesting patterns from
educational institution datasets using Machine Learning (ML) algorithms. There is much …