Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
SM Dol, PM Jawandhiya - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
A survey on educational data mining methods used for predicting students' performance
W Xiao, P Ji, J Hu - Engineering Reports, 2022 - Wiley Online Library
Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …
mining (EDM), which has received more and more attention. By predicting students' …
Predicting academic performance using an efficient model based on fusion of classifiers
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …
researchers to enhance the quality of education. Predicting student academic performance …
Heart disease prediction using machine learning techniques: a quantitative review
Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …
deaths in the world today. Heart disease affects the functioning of blood vessels and can …
[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques
Student performance prediction is extremely important in today's educational system.
Predicting student achievement in advance can assist students and teachers in keeping …
Predicting student achievement in advance can assist students and teachers in keeping …
Imbalanced classification methods for student grade prediction: a systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
Hybrid facial emotion recognition using CNN-based features
In computer vision, the convolutional neural network (CNN) is a very popular model used for
emotion recognition. It has been successfully applied to detect various objects in digital …
emotion recognition. It has been successfully applied to detect various objects in digital …
A survey of medical image analysis using deep learning approaches
With the expanding development of Deep Learning techniques Medical Image Analysis
have become an active field of research. Medical Image Analysis typically refers to the …
have become an active field of research. Medical Image Analysis typically refers to the …
A new QoE-based prediction model for evaluating virtual education systems with COVID-19 side effects using data mining
C Tan, J Lin - Soft Computing, 2023 - Springer
Today, emerging technologies such as 5G Internet of things (IoT), virtual reality and cloud-
edge computing have enhanced and upgraded higher education environments in …
edge computing have enhanced and upgraded higher education environments in …
Disease detection and prediction using the liver function test data: A review of machine learning algorithms
In the last decade, there has been an admirable improvement in the classification accuracy
of various machine learning techniques used for disease diagnosis. This even aids in …
of various machine learning techniques used for disease diagnosis. This even aids in …