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 …

Introduction: This article is a product of the research “Ensemble methods to estimate the
academic performance of higher education students”, developed at the Universidad Distrital …

The value of schooling and academic performance of student is the topmost priority of all
academic institutions. Educational Data Mining (EDM) is an evolving area of research which …

This paper examined the research landscape on the applications of machine learning in
finance (MLF) research based on the published documents on the topic indexed in the …

The selection of feature subsets has been broadly utilized in data mining and machine
learning tasks to produce a solution with a small number of features which improves the …

The reasons why students abuse drugs are crucial information. Knowledge of the difficulties
associated with drug use can be improved by employing data mining techniques, which …

Penelitian ini bertujuan untuk meningkatkan akurasi prediksi kinerja mahasiswa dalam
sistem pembelajaran virtual atau elearning menggunakan pendekatan ensemble learning …

Machine learning (ML) and deep learning (DL) algorithms work well where future
estimations and predictions are required. Particularly, in educational institutions, ML and DL …

Predicting student performance has become a strategic challenge for universities, essential
for increasing student success rates, retention, and tackling dropout rates. However, the …

The study was aimed to create a predictive model for predicting students' academic
performance based on a neural network algorithm. This is because recently, educational …