B Mallikarjun Rao, BV Ramana Murthy - Data Engineering and …, 2020 - Springer
Educational data mining indicates an area of research in which the data mining, machine learning, and statistics are applied to predict information from academic environment …
M Sudais, M Safwan, MA Khalid, S Ahmed - 2022 - researchsquare.com
Providing quality education to students is the main objective of higher education institutions. The need of identifying students with weak performances has been a rising problem and …
RJ Oskouei, M Askari - Computer Engineering and …, 2014 - comengapp.unsri.ac.id
Several research works are attempted to predict students academic performance and assess  the  evaluating students knowledge  or  detecting  students’  weakness …
V Ramesh, P Parkavi, K Ramar - International journal of computer …, 2013 - researchgate.net
Predicting the performance of a student is a great concern to the higher education managements. The scope of this paper is to identify the factors influencing the performance …
LW Santoso, Yulia - … and Computational Sciences: Proceedings of IC4S …, 2019 - Springer
This paper presents the study of data mining in the education industry to model the performance for students enrolled in university. Two algorithms of data mining were used …
This study focuses on student success analysis and prediction modelling improving the quality in terms of teaching, delivery and satisfaction. Data mining techniques are used to …
A Alam, A Mohanty - International Conference on Communication …, 2022 - Springer
Student success is important in colleges and universities since it is often used as a measure of the institution's effectiveness. Identifying at-risk students early on and implementing …