Predicting academic performance of students using a hybrid data mining approach

BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms

YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …

Student performance prediction based on data mining classification techniques

YK Saheed, TO Oladele, AO Akanni… - Nigerian Journal of …, 2018 - ajol.info
The process of predicting student performance has become a crucial factor in academic
environment and plays significant role in producing quality graduates. Several statistical and …

Effective dimensionality reduction model with machine learning classification for microarray gene expression data

YK Saheed - Data Science for Genomics, 2023 - Elsevier
Microarray technology enables biologists to simultaneously monitor the activities of genome-
wide features. This method generates gene expression data that can be used to classify …

[PDF][PDF] Genetically optimized ensemble classifiers for multiclass student performance prediction

S Begum, SS Padmannavar - Int. J. Intell. Eng. Syst, 2022 - academia.edu
The knowledge obtained from data can be useful for the improvement of education systems,
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …

[PDF][PDF] Data mining for student advising

H Alhakami, T Alsubait… - International Journal of …, 2020 - pdfs.semanticscholar.org
This paper illustrates how to use data mining techniques to help in advising students and
predicting their academic performance. Data mining is used to get previously unknown …

[PDF][PDF] University students result analysis and prediction system by decision tree algorithm

MI Hoque, AK Azad, MAH Tuhin… - Adv. Sci. Technol. Eng …, 2020 - researchgate.net
The main assets of universities are students. The performance of students plays a vital role
in producing excellent graduate students who will be the future viable leader and manpower …

Heart disease prediction using principal component analysis and decision tree algorithm

MA Hambali, MD Gbolagade… - Journal of Computer …, 2023 - icsejournal.com
Globally, cardiovascular disease is among the major diseases that lead to death. Early
forecasts are crucial. Using the patient's medical record, the supervised learning algorithm …

Data analytics for intrusion detection system based on recurrent neural network and supervised machine learning methods

YK Saheed - Recurrent Neural Networks, 2022 - taylorfrancis.com
Intrusion detection (ID) is a critical component of information security, and the fundamental
technology is the ability to reliably recognize diverse network threats. Network assaults are …

[PDF][PDF] An enhanced predictive approach for students' performance

MF Yacoub, HA Maghawry, NA Helal… - … Journal of Advanced …, 2022 - researchgate.net
Applying data mining for improving the outcomes of the educational process has become
one of the most significant areas of research. The most important corner stone in the …