An intelligent prediction system for educational data mining based on ensemble and filtering approaches
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …
prediction paradigms. The ensemble learning techniques are typically more accurate than …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
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 …
data mining techniques are proposed to extract the hidden knowledge from educational …
[PDF][PDF] Student academic performance prediction using supervised learning techniques.
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) …
educational databases. This job is being addressed by educational data mining (EDM) …
Systematic ensemble model selection approach for educational data mining
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 …
performance in order to support their development. Many institutions are focused on …
[HTML][HTML] Predicting academic performance using an efficient model based on fusion of classifiers
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 …
researchers to enhance the quality of education. Predicting student academic performance …
[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques
M Ragab, AMK Abdel Aal, AO Jifri… - … and Mobile Computing, 2021 - Wiley Online Library
Student performance prediction is extremely important in today's educational system.
Predicting student achievement in advance can assist students and teachers in keeping …
Predicting student achievement in advance can assist students and teachers in keeping …
[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …
institutions to improve results and provide personalized support of students. However, the …
Analysis and prediction of students' academic performance based on educational data mining
G Feng, M Fan, Y Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …
rapid growth of educational data indicates traditional processing methods may have …
Clustering-based EMT model for predicting student performance
Predicting students' performance has emerged as an attractive task among researchers.
They use supervised and unsupervised educational data mining (EDM) techniques to build …
They use supervised and unsupervised educational data mining (EDM) techniques to build …
Predicting student academic performance using multi-model heterogeneous ensemble approach
OW Adejo, T Connolly - Journal of Applied Research in Higher …, 2018 - emerald.com
Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …
multiple data sources, different classifiers and ensembles of classifiers technique in …