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
M Ragab, AMK Abdel Aal, AO Jifri… - … and Mobile Computing, 2021 - Wiley Online Library
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 …
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 …
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 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 …
A pragmatic comparison of supervised machine learning classifiers for disease diagnosis
This study focuses on comparing the different supervised machine learning classifiers such
as Logistic Regression, Naïve Bayes, Support Vector Machine, K-Nearest Neighbour …
as Logistic Regression, Naïve Bayes, Support Vector Machine, K-Nearest Neighbour …
To ameliorate classification accuracy using ensemble distributed decision tree (DDT) vote approach: An empirical discourse of geographical data mining
Weather data of Kashmir province has 6 attributes recorded at three different substations.
This paper proposes a distributed decision tree algorithm and its implementation on …
This paper proposes a distributed decision tree algorithm and its implementation on …