[PDF][PDF] Genetically optimized ensemble classifiers for multiclass student performance prediction
S Begum, SS Padmannavar - Int. J. Intell. Eng. Syst, 2022 - academia.edu
The knowledge obtained from data can be useful for the improvement of education systems,
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …
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 …
[PDF][PDF] Students performance prediction in online courses using machine learning algorithms
GM Rao, PKK Kumar - United Int. J. Res. Technol, 2021 - uijrt.com
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) …
[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) …
[PDF][PDF] A Novel Hybrid Ensemble Clustering Technique for Student Performance Prediction
S Fida, N Masood, N Tariq, F Qayyum - Journal of Universal …, 2022 - academia.edu
Educational Data Mining (EDM) is a branch of data mining that focuses on extraction of
useful knowledge from data generated through academic activities at school, college or at …
useful knowledge from data generated through academic activities at school, college or at …
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 …
Educational data mining: enhancement of student performance model using ensemble methods
SSM Ajibade, N Bahiah Binti Ahmad… - IOP conference …, 2019 - iopscience.iop.org
Abstract Nowadays, Educational Data Mining (EDM), begun as a new research area due to
the broadening of numerous statistical approaches that are used to perform data exploration …
the broadening of numerous statistical approaches that are used to perform data exploration …
[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 …
A data mining approach to predict academic performance of students using ensemble techniques
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 …
to the enlargement of various statistical methods used to explore data in educational …
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …
years, with many institutions focusing on improving the students' performance and the …