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 …

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 …

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 …

[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 of New Classes in Unbalanced Datasets: Learn + + .UDNC

G Ditzler, MD Muhlbaier, R Polikar - … , MCS 2010, Cairo, Egypt, April 7-9 …, 2010 - Springer
We have previously described an incremental learning algorithm, Learn++. NC, for learning
from new datasets that may include new concept classes without accessing previously seen …

Identifying knowledge domain and incremental new class learning in SVM

H Jia, YL Murphey, D Gutchess… - Proceedings. 2005 IEEE …, 2005 - ieeexplore.ieee.org
An incremental class learning system for support vector machine (SVM) is presented for
learning new knowledge from newly available data without forgetting the existing …

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 …

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 …

Evolve systems using incremental clustering approach

PA Kulkarni, P Mulay - Evolving Systems, 2013 - Springer
Incremental learning, software engineering, data mining, incremental clustering etc. are the
major research areas and have received great attention in recent years. The intelligent …

An overview of real world applications with concept drifting data streams

V Mittal, I Kashyap - … of 3rd International Conference on Internet of …, 2018 - papers.ssrn.com
In online learning, the concept drifts refers to the situations where the objective variable
conforming to the input data changes over time. This change in distribution of data over time …