EA Amrieh, T Hamtini, I Aljarah - International journal of database …, 2016 - evo-ml.com
Educational data mining has received considerable attention in the last few years. Many data mining techniques are proposed to extract the hidden knowledge from educational …
A precise prediction of student performance is an important aspect within educational institutions to improve results and provide personalized support of students. However, the …
IF Siddiqui, QA Arain - 3C Tecnologia, 2019 - 3ciencias.com
Predicting students' performance is a very important task in any educational system. Therefore, to predict the learner's behavior towards studies many data mining techniques …
N Walia, M Kumar, N Nayar, G Mehta - Proceedings of the …, 2020 - papers.ssrn.com
Data Mining has adopted by many areas like education, telecommunication, retail management etc. to resolve their business problems. Due to features likes classification …
Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due to the enlargement of various statistical methods used to explore data in educational …
Automatic Student performance prediction is a crucial job due to the large volume of data in educational databases. This job is being addressed by educational data mining (EDM) …
R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of Machine learning algorithms increased the growth in various fields like disease prediction …
The ensemble approach such as boosting is based on heuristic system to develop prediction paradigms. The ensemble learning techniques are typically more accurate than …
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern technology, educational data increases sharply. It is difficult for educational researchers to …