[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 …

Classification of students by using an incremental ensemble of classifiers

R Ade, PR Deshmukh - Proceedings of 3rd International …, 2014 - ieeexplore.ieee.org
The amount of students data in the education system databases is growing day by day, so
the knowledge taken out from these data need to be updated continuously. The training set …

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 …

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 …

An incremental ensemble of classifiers as a technique for prediction of student's career choice

R Ade, PR Deshmukh - 2014 First International Conference on …, 2014 - ieeexplore.ieee.org
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks and the result …

A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education

S Kotsiantis, K Patriarcheas, M Xenos - Knowledge-Based Systems, 2010 - Elsevier
The ability to predict a student's performance could be useful in a great number of different
ways associated with university-level distance learning. Students' marks in a few written …

Ensemble Implementation for Predicting Student Graduation with Classification Algorithm

R Rismayati, I Ismarmiaty… - International …, 2022 - journal.universitasbumigora.ac.id
Graduating on time at the higher education level is one of the main targets of every student
and university institution. Many factors can affect a student's length of study, the different …

[PDF][PDF] Instance-based vs batch-based incremental learning approach for students classification

R Ade, PR Deshmukh - International Journal of Computer Applications, 2014 - Citeseer
It is difficult to find the hidden information in the educational database system, because of
the rapid increase of the student's data. The hidden information from the educational …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

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 …

[PDF][PDF] Incremental learning: areas and methods-a survey

P Joshi, P Kulkarni - International Journal of Data Mining & …, 2012 - academia.edu
While the areas of applications in data mining are growing substantially, it has become
extremely necessary for incremental learning methods to move a step ahead. The …