Data mining provides educational institutions that the capability to explore, visualize and
analyze large amounts of data in order to reveal valuable patterns in students' learning …

Educational Data mining (EDM) is a prominent field concerned with developing methods for
exploring the unique and increasingly large scale data that come from educational settings …

In recent time, educational data mining (EDM) has received substantial considerations.
Many techniques of data mining have been proposed to dig out out-of-sight knowledge in …

In the current age, students‟ academic performance deterioration is a very crucial problem
in engineering education. Prediction of low-performing students at an early stage is …

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 data mining is an emerging trend, concerned with developing techniques for
exploring, and analyzing the huge data that come from the educational context. EDM is …

The research on educational field that involves Data Mining techniques is rapidly increasing.
Applying Data Mining techniques in an educational environment are known as Educational …

Classification of students' academic performance for Sijil Pelajaran Malaysia (SPM) at early
stage of their previous study will able to help in identify the students' achievement to will …

In the field of education, every institution stores a significant amount of data in digital form on
the academic performance of students. If this data is correctly analysed to discover any …

Prediction on students' academic performance is a subject or situation under consideration
of interest for both students and educational institutions at large. This is a strong emerging …