Predicting road crash severity using classifier models and crash hotspots

MK Islam, I Reza, U Gazder, R Akter, M Arifuzzaman… - Applied Sciences, 2022 - mdpi.com
The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …

Educational data mining in higher education in sub-Saharan Africa: A systematic literature review and research agenda

M Maphosa, V Maphosa - … of the 2nd International Conference on …, 2020 - dl.acm.org
The impact of the coronavirus disease (COVTD-19) will see an increase in data generated
by higher education institutions (HEIs) in Sub-Saharan Africa as more institutions introduce …

Improved students' performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining

H Hassan, NB Ahmad, S Anuar - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Among the problems raised in the data mining area, the class imbalance is a well-known
issue that always occurs. Many researchers studied this issue in several fields using three …

Machine learning for predicting students' employability

MH Baffa, MA Miyim, AS Dauda - UMYU Scientifica, 2023 - scientifica.umyu.edu.ng
Graduates' employability becomes one of the performance indicators for higher educational
institutions (HEIs) because the number of graduates produced every year from higher …

Students' performance prediction model using meta-classifier approach

H Hassan, S Anuar, NB Ahmad - … 2019, Xersonisos, Crete, Greece, May 24 …, 2019 - Springer
Students' performance is vitally important at all stages of education, particularly for Higher
Education Institutions. One of the most important issues is to improve the performance and …

[PDF][PDF] Registration status prediction of students using machine learning in the context of Private University of Bangladesh

MJ Mia, AA Biswas, A Sattar… - International Journal of …, 2019 - researchgate.net
Bangladesh is a densely populated country where a large portion of citizens is living under
poverty. In Bangladesh, a significant portion of higher education is accomplished at private …

An Optimized Fractional Nonlinear Grey System Model and Its Application in the Prediction of the Development Scale of Junior Secondary Schools in China

Z Xu, W Xie, C Liu - Sustainability, 2023 - mdpi.com
As part of China's compulsory nine-year education system, junior secondary education
(JSSE) plays a vital role in supporting students' physical and mental development. The …

Student graduation time prediction using logistic regression, decision tree, support vector machine, and adaboost ensemble learning

A Desfiandi, B Soewito - IJISCS (International Journal of …, 2023 - jurnal.ftikomibn.ac.id
Universities in Indonesia are working hard to improve the graduation rates of their students
as it is considered a measure of success and quality in terms of accreditation. This study …

Komparasi model prediksi daftar ulang calon mahasiswa baru menggunakan Metode Decision Tree dan Adaboost

MN Rabbani, A Yusuf… - Jurnal Sisfokom (Sistem …, 2021 - jurnal.atmaluhur.ac.id
Every year, all the colleges hold new student enrollment. It is needed to start a new school
academic year. Unfortunately, the number of students who resigned is considerably high to …

An Ensemble Classifier for TVET Course prediction using Big Five Personality Traits

RH Hassan, MT Hassan - 2023 25th International Multitopic …, 2023 - ieeexplore.ieee.org
Technical and Vocational Education and Training (TVET) is an academic program that
facilitates skilled workforce development for the industry nationally and internationally …