The prediction of performance of student is a very important task for institutions of higher
learning. The academic performance of students aids the teachers, instructors and …

Predicting the student performance is a great concern to the higher education
managements. This prediction helps to identify and to improve students' performance …

A high prediction accuracy of the students' performance is more helpful to identify the low
performance students at the beginning of the learning process. Data mining is used to attain …

The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

Educational Data Mining (EDM) is a branch of data mining that focuses on extraction of
useful knowledge from data generated through academic activities at school, college or at …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

Educational data mining has illustrated an increasing demand for extracting and
maneuvering data from academic backdrop, to generate prolific information which is …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …

Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …