The process of predicting student performance has become a crucial factor in academic
environment and plays significant role in producing quality graduates. Several statistical and …

The advancement in technology has contributed largely to the application of data mining in
education in recent times. However, selecting appropriate algorithm (s) to “mine” knowledge …

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 …

This study focuses on student success analysis and prediction modelling improving the
quality in terms of teaching, delivery and satisfaction. Data mining techniques are used to …

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 …

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 …

Objectives: Data mining techniques are implemented in many organizations as a standard
procedure for analyzing the large volume of available data, extracting useful information and …

The study attempts to investigate the influence of factors on students' academic performance
by comparing the accuracy of different classifiers. The result will be useful in identifying good …

Data mining is used in academic institutions to predict the performance of students using
classification techniques. These techniques are applied on students' features in order to find …