EMT: Ensemble meta-based tree model for predicting student performance in academics

M Kumar, G Mehta, N Nayar… - IOP conference series …, 2021 - iopscience.iop.org
Data Mining is a field in which hidden information is extracted from a large database by
using some algorithms implementation. These algorithms are further divided into some …

Student's academic performance prediction by using ensemble techniques

N Nidhi, M Kumar, D Handa, S Agarwal - AIP Conference Proceedings, 2022 - pubs.aip.org
Data Mining is a discipline of Machine Learning which is used to find or extract the
information from the huge database of any organization by using some informative …

Educational Data Mining Using Base (Individual) and Ensemble Learning Approaches to Predict the Performance of Students

M Ashraf, YK Salal, SM Abdullaev - Data Science: Theory, Algorithms, and …, 2021 - Springer
The ensemble approaches involving amalgamation of various learning classifiers are
grounded on heuristic machine learning methods to device prediction paradigms, as these …

Process-Based Multi-level Homogeneous Ensemble Predictive Model for Analysing Student's Academic Performance

M Kumar, A Jeet Singh - … : Proceedings of ICICC 2022, Volume 1, 2022 - Springer
The aim of this study is to undertake an empirical inquiry and comparison of the
effectiveness of various classifiers with ensembles classifiers in the prediction of student …

Predicting Students' Academic Performance in School Education Using Classification Techniques

R Singh, RS Sodhi - … An Interdisciplinary Journal, ISSN: 2524-6178, 2023 - sibe.rpress.co.in
In today's scenario, data mining finds application across various domains, serving to derive
insightful analyses. One the main domain in data mining is education to analyze the …

Data Science

Digital information influences our everyday lives in various ways. Data sciences provides us
tools and techniques to comprehend and analyze the data. Data sciences is one of the …