Predicting students' academic performance is of great concern for both students and
educational institutions. Drawing on the prediction of learning outcome, lecturers and …

An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …

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------------------Over the past decade there has been a rapid growth in higher education …

The main objective of this study is to apply data mining techniques to predict and analyze
students' academic performance based on their academic record and forum participation …

Data Mining has adopted by many areas like education, telecommunication, retail
management etc. to resolve their business problems. Due to features likes classification …

Predicting the student performance is playing vital role in educational sector so that the
analysis of student's status helps to improve for better performance. Applying data mining …

In recent years data mining has been successfully implemented in the business world.
Evaluating students' academic success is becoming increasingly challenging, its use is …

Higher learning institutions nowadays operate in a more complex and competitive due to a
high demand from prospective students and an emerging increase of universities both …

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