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 …

Apply machine learning algorithms to predict at-risk students to admission period

O Embarak - 2020 Seventh International Conference on …, 2020 - ieeexplore.ieee.org
Educational organizations have a high burden of treating students with poor academic
success (At-risk students). Many methods are pursued to help this group of pupils, such as …

Prediction analysis student graduate using multilayer perceptron

M Windarti, PT Prasetyaninrum - International Conference on …, 2020 - atlantis-press.com
Student graduation data is a data that is important to the College, especially for the Faculty
as well as the courses in question. Acquisition of knowledge in a database (a number of …

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 …

Prediction probability of getting an admission into a university using machine learning

A Sivasangari, V Shivani, Y Bindhu… - 2021 5th …, 2021 - ieeexplore.ieee.org
In the present conditions, students regularly have difficulty finding a fitting institution to
pursue higher studies based on their profile. There are some advisory administrations and …

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 …

Comparative analysis of baseline models, ensemble models, and deep models for prediction of graduate admission

M Vasani, S Patel, J Kaur - … of 3rd International Conference on Machine …, 2022 - Springer
As there is a rise in number of academic institutes all over the world, shortlisting the
universities to apply has become a tedious task for aspiring graduate student. There are …

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 …

Classification Method to Predict Chances of Students' Admission in a Particular College

DJ Devarapalli - Proceedings of International Conference on Recent …, 2021 - Springer
Abstract There are many Predictor/Prediction systems or applications on the internet, but
most of these prediction systems do not use any Machine Learning algorithms in their …

Comparison study of regression models for the prediction of post-graduation admissions using machine learning techniques

NS Sapare, SM Beelagi - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
In today's technological world, a student's graduate performance plays a vital role in building
either a net worthy career or opting different university for master's studies. One simple …