[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 …

Incremental learning in students classification system with efficient knowledge transformation

R Ade, PR Deshmukh - 2014 international conference on …, 2014 - ieeexplore.ieee.org
The amount of students data in the educational databases is growing day by day, so the
knowledge taken out from these data need to be updated continuously. In the …

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 …

Efficiency of multi-instance learning in educational data mining

S Anupama Kumar, MN Vijayalakshmi - Knowledge Computing and its …, 2018 - Springer
Educational data mining (EDM) is one of the emerging technologies in recent years. The
various changes in the process of teaching and learning have brought in a lot of challenges …

Efficient knowledge transformation for incremental learning and detection of new concept class in students classification system

R Ade, P Deshmukh - … Design and Intelligent Applications: Proceedings of …, 2015 - Springer
The efficient knowledge transformation with the concept class detection is an important
challenge for the incremental learning system, where the student's data is flowing …

[PDF][PDF] Methods for incremental learning: a survey

RR Ade, PR Deshmukh - International Journal of Data Mining & …, 2013 - academia.edu
Incremental learning is a machine learning paradigm where the learning process takes
place whenever new example/s emerge and adjusts what has been learned according to …

[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 …

Efficient knowledge transformation system using pair of classifiers for prediction of students career choice

R Ade, PR Deshmukh - Procedia Computer Science, 2015 - Elsevier
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 in …

Incremental learning for e-mail classification

S Misina - … , Theory and Applications: International Conference 9th …, 2006 - Springer
Machine learning algorithms can be divided into two categories–statistic learning and
incremental learning algorithms. Incremental learning training set examples distribute over …

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 …