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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …