Most students have a problem to keep track on their learning performance. Some lecturers
with high teaching hours and burden of administration jobs may have difficulty to identify …

In this information era to maintain the highest academic performance is one of the
challenges in front of educators. To maintain academic performance educators must know …

The aim of this paper is to predict the students' academic performance. It is useful for
identifying weak students at an earlier stage. In this study, we used WEKA open source data …

Objectives: Universities accumulate huge amount of student's data in electronic form. Based
on the information stored in the database filtering a data on certain criteria becomes difficult …

The level of the student may change at the undergraduate level from his level in
intermediate or secondary school. Educational and personal factors may affect the …

The critical issue to the academic community of higher education is to monitor the progress
of students' academic performance. We can use data mining techniques for this purpose …

Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

Many researchers in educational data mining (EDM) have explored various machine
learning techniques in order to predict students' performance. However, the most daunting …

Educational database of Higher Learning Institutions holds an enormous amount of data that
increases every semester. Data mining technique is usually applied to this database to …

Educational mining plays very significant role to measure the educational concert and
quality outcome of the under graduates. During the unexpected academic period like this …