[PDF][PDF] A review on student attrition in higher education using big data analytics and data mining techniques

SSA Tarmizi, S Mutalib, NHA Hamid… - International Journal of …, 2019 - academia.edu
Student attrition among undergraduate students is among the most concerned issues in
higher educational institutions in Malaysia and abroad. This problem arises when these …

Predict the entrepreneurial intention of fresh graduate students based on an adaptive support vector machine framework

J Tu, A Lin, H Chen, Y Li, C Li - Mathematical Problems in …, 2019 - Wiley Online Library
Under the background of “innovation and entrepreneurship,” how to scientifically and
rationally choose employment or independent entrepreneurship according to their own …

[PDF][PDF] Heart disease prediction using modified version of LeNet-5 model

S Mahmoud, M Gaber, G Farouk, A Keshk - Int. J. Intell. Syst. Appl, 2022 - academia.edu
Particularly compared to other diseases, heart disease (HD) claims the lives of the greatest
number of people worldwide. Many priceless lives can be saved with the help of early and …

Machine learning prediction model based on enhanced bat algorithm and support vector machine for slow employment prediction

Y Wei, X Rao, Y Fu, L Song, H Chen, J Li - Plos one, 2023 - journals.plos.org
The employment of college students is an important issue that affects national development
and social stability. In recent years, the increase in the number of graduates, the pressure of …

Classification Techniques Using Machine Learning for Graduate Student Employability Predictions.

R Haque, A Quek, CY Ting, HN Goh… - … Journal on Advanced …, 2024 - search.ebscohost.com
The issue of employability has gained significant importance, not only for graduate students
but also for higher educational institutions. In this regard, employability prediction models …

An intelligent hybrid deep belief network model for predicting students employability

A Bai, S Hira - Soft Computing, 2021 - Springer
In recent times, the question of employability has become a critical concern not only for
degree holders but for educational organizations. Hence, employability prediction models …

A case study on student attrition prediction in higher education using data mining techniques

SS Ahmad Tarmizi, S Mutalib, NH Abdul Hamid… - Soft Computing in Data …, 2019 - Springer
Student attrition in higher educational institutions (HEI) concern with the failure of
undergraduate students who unable to complete their studies within the stipulated period …

Raman, FTIR, and UV–Vis Spectroscopic Investigation of Some Oils and Their Hierarchical Agglomerative Clustering (HAC)

H Motahari, SS Mousavi, P Haghighi - Food Analytical Methods, 2023 - Springer
Eight edible and non-edible oils have been characterized using UV–Vis absorption and
transmission, FTIR, and Raman spectroscopy. Oils' molecular structure, characteristics, and …

prediction of cardiovascular disease using machine learning techniques

SM Mohamed, MG Malhat… - IJCI. International Journal …, 2022 - ijci.journals.ekb.eg
Cardiovascular disease is one of the most dangerous diseases that lead to death. It results
from the lack of early detection of heart patients. Many researchers analyzed the risk factors …

Combining Fourier Fractional GM (1, 1| sin) Model with Rat Swarm Optimizer for Employment Rate Prediction

L Cai, D Lei, F Wu, A Guo - IEEJ Transactions on Electrical and …, 2024 - Wiley Online Library
Accurate prediction of employment rate of graduated students can greatly help education
authorities to make informed decisions as well as for universities to adjust their teaching …