F Ahmad, NH Ismail, AA Aziz - Applied mathematical sciences, 2015 - m-hikari.com
Data Mining provides powerful techniques for various fields including education. The research in the educational field is rapidly increasing due to the massive amount of students' …
The main objective of this study is to apply data mining techniques to predict and analyze students' academic performance based on their academic record and forum participation …
H Hamsa, S Indiradevi, JJ Kizhakkethottam - Procedia Technology, 2016 - Elsevier
The research on the educational field that involves Data Mining techniques is rapidly increasing. Applying Data Mining techniques in an educational background are known as …
M Kumar, AJ Singh - International Journal of Modern Education and …, 2017 - academia.edu
This paper highlights important issues of higher education system such as predicting student's academic performance. This is trivial to study predominantly from the point of view …
Educational systems need innovative ways to improve quality of education to achieve the best results and decrease the failure rate. Educational Data Mining (EDM) has boomed in …
D Alboaneen, M Almelihi, R Alsubaie, R Alghamdi… - Data, 2022 - mdpi.com
Educational Data Mining (EDM) is used to extract and discover interesting patterns from educational institution datasets using Machine Learning (ML) algorithms. There is much …
AM Shahiri, W Husain - Procedia Computer Science, 2015 - Elsevier
Predicting students performance becomes more challenging due to the large volume of data in educational databases. Currently in Malaysia, the lack of existing system to analyze and …
Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many …