A university admission prediction system using stacked ensemble learning

S Sridhar, S Mootha, S Kolagati - 2020 Advanced Computing …, 2020 - ieeexplore.ieee.org
For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

Graduate admission chance prediction using deep neural network

MOF Goni, A Matin, T Hasan… - … in Engineering (WIE …, 2020 - ieeexplore.ieee.org
Every year many students apply for graduate admission to different universities. To select an
applicant, each university has different selection criteria such as GRE score, CGPA …

A machine learning approach for predicting student enrollment in the university

B Ujkani, D Minkovska… - 2021 XXX International …, 2021 - ieeexplore.ieee.org
The Matura exam is the final national examination that high school students in many
countries must pass to be eligible for admission to a university. This paper discusses the key …

Prediction of graduate admission using multiple supervised machine learning models

Z Bitar, A Al-Mousa - 2020 SoutheastCon, 2020 - ieeexplore.ieee.org
In response to the highly competitive job market at present times, an increased interest in
graduate studies has arisen. This has not only burdened applicants but also led to an …

A machine learning approach for graduate admission prediction

A AlGhamdi, A Barsheed, H AlMshjary… - Proceedings of the 2020 …, 2020 - dl.acm.org
With the increase in the number of graduates who wish to pursue their education, it becomes
more challenging to get admission to the students' dream university. Newly graduate …

Predicting the post graduate admissions using classification techniques

S Jeganathan, S Parthasarathy… - … on Emerging Smart …, 2021 - ieeexplore.ieee.org
Decision making by applying data mining methods is being used in many service
organizations. Educational bodies gradually started to use the business intelligence …

Multi-model stacking ensemble learning for student achievement prediction

T Fang, S Huang, Y Zhou… - 2021 12th International …, 2021 - ieeexplore.ieee.org
Educational data mining has always been a direction of big data applications, among which
the student achievement prediction is one of the research focuses. The research has two …

Deep learning in diverse computing and network applications student admission predictor using deep learning

P Nandal - Proceedings of the International Conference on …, 2020 - papers.ssrn.com
In today's era ample numbers of students pursue the education far from the home country.
The United States of America (USA) is the prominent country targeted by these international …

Two-Stage PNN–SVM Ensemble for Higher Education Admission Prediction

K Zub, P Zhezhnych, C Strauss - Big Data and Cognitive Computing, 2023 - mdpi.com
In this paper, we investigate the methods used to evaluate the admission chances of higher
education institutions'(HEI) entrants as a crucial factor that directly influences the admission …

[PDF][PDF] A Comparative Study on University Admission Predictions Using Machine Learning Techniques

P Golden, K Mojesh, LM Devarapalli… - International Journal of …, 2021 - academia.edu
In this era of Cloud Computing and Machine Learning where every kind of work is getting
automated through machine learning techniques running off of cloud servers to complete …