Students performance prediction using hybrid classifier technique in incremental learning

R Ade - International Journal of Business Intelligence and …, 2019 - inderscienceonline.com
The performance in higher education is a turning point in the academics for all students. This
academic performance is influenced by many factors, therefore, it is essential to develop …

Prediction of Student's Academic Performance Using Machine Learning-Systematic Review

AK Gupta, C Khosla - … of the International Conference on Innovative …, 2021 - papers.ssrn.com
Education has a crucial role to play in the life of a student. During your choice of area,
several options before the student are offered. Student skills, ability, family history, the …

Predicting student's performance using machine learning

VA Sungar, PD Shinde, MV Rupnar - Communications on Applied …, 2017 - caeaccess.org
Education plays vital role in a student's life. While choosing any field, number of options
available in front of student. Student's marks, aptitude, family background, educational …

[PDF][PDF] Prediction of student's performance based on incremental learning

P Kulkarni, R Ade - International Journal of Computer Applications, 2014 - Citeseer
It is necessary to use Student dataset in order to analyze student's performance for future
improvements in study methods and overall curricular. Incremental learning methods are …

[PDF][PDF] Predicting the impact of different Variables on Students Academic Performance using Artificial Intelligence

PR Shetgaonkar - International Journal of Computer Science and …, 2015 - Citeseer
Undergraduate student's academic performance is a long standing issue in higher
education and a great deal of research over the past many years. At the end of each …

Forecasting Students' Success to Graduate Using Predictive Analytics

JR Almonteros, JB Matias… - International Journal of …, 2024 - journal.uob.edu.bh
Predictive analytics is the process of forecasting outcomes based on historical data.
Execution of predictive analytics involves data collection, analysis and massaging …

[PDF][PDF] An enhanced predictive approach for students' performance

MF Yacoub, HA Maghawry, NA Helal… - … Journal of Advanced …, 2022 - researchgate.net
Applying data mining for improving the outcomes of the educational process has become
one of the most significant areas of research. The most important corner stone in the …

Predicting student performance using data mining

LW Santoso - 2018 - repository.petra.ac.id
Supporting the goal of higher education to produce graduation who will be a professional
leader is a crucial. Most of universities implement intelligent information system to support in …

Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student

BK Yousafzai, M Hayat, S Afzal - Education and Information Technologies, 2020 - Springer
The presented work is a student marks and grade prediction system using supervised
machine learning techniques, the system is developed on the historic performance of …

A Prediction Model for Online Student Academic Performance Using Machine Learning

H Kaur, T Kaur, R Garg - Informatica, 2023 - informatica.si
Academic data mining impacts a large number of educational institutions, significantly,
playing a prime role in accumulating, studying, and analyzing the academic data. The …