The aim of this study is to analyze factors affecting academic achievement that contribute to
the prediction of students' academic performance. It is useful in identifying weak students …

The aims of this study are 1) to study the prediction accuracy rate between the two data
mining techniques: decision tree and neural network in classifying a group of student …

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 …

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 …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Data mining in education is an emerging multidiscipline research field especially with the
upsurge of new technologies used in educational systems that led to the storage of massive …

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 …

In this competitive scenario of the educational system, the higher education institutes use
data mining tools and techniques for academic improvement of the student performance and …

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 …

The overall success of educational institutions can be measured by the success of its
students. Providing factors that increase success rate and reduce the failure of students is …