[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 …

[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods

EA Amrieh, T Hamtini, I Aljarah - International journal of database …, 2016 - evo-ml.com
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 …

[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling

AA Nafea, M Mishlish, AMS Shaban, MM AL-Ani… - Iraqi Journal For …, 2023 - iasj.net
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

[PDF][PDF] ANALYZING STUDENTS'ACADEMIC PERFORMANCE THROUGH EDUCATIONAL DATA MINING.

IF Siddiqui, QA Arain - 3C Tecnologia, 2019 - 3ciencias.com
Predicting students' performance is a very important task in any educational system.
Therefore, to predict the learner's behavior towards studies many data mining techniques …

Student's academic performance prediction in academic using data mining techniques

N Walia, M Kumar, N Nayar, G Mehta - Proceedings of the …, 2020 - papers.ssrn.com
Data Mining has adopted by many areas like education, telecommunication, retail
management etc. to resolve their business problems. Due to features likes classification …

A data mining approach to predict academic performance of students using ensemble techniques

SSM Ajibade, NB Ahmad, SM Shamsuddin - Intelligent Systems Design …, 2020 - Springer
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 …

[PDF][PDF] Student academic performance prediction using supervised learning techniques.

M Imran, S Latif, D Mehmood… - International Journal of …, 2019 - academia.edu
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) …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

An intelligent prediction system for educational data mining based on ensemble and filtering approaches

M Ashraf, M Zaman, M Ahmed - Procedia Computer Science, 2020 - Elsevier
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …