Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …

Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …

This document presents two developed methods for solving the classification task of medical
implant materials based on the compatible use of the Wiener Polynomial and SVM. The high …

Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …

The tremendous growth of educational institutions' electronic data provides the opportunity
to extract information that can be used to predict students' overall success, predict students' …

Predicting academic performance of the student is crucial task as it depends on various
factors. To perform such predictions the machine learning and data mining algorithms are …