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

The students' employability is a major concern for the institutions offering higher education
and a method for early prediction of employability of the students is always desirable to take …

In recent times, the need for the application of machine learning in the educational frontier
has become crucial. Most educational administrators and researchers are using various …

Abstract Averaged n-Dependence Estimators (A n DE) is an approach to probabilistic
classification learning that learns by extrapolation from marginal to full-multivariate …

Researchers in higher education are beginning to explore the potential of data mining in
analyzing data for the purpose of giving quality service and needs of their graduates. Thus …

Education systems produce a large number of valuable data for all stakeholders. The
processing of these educational data and making studies on the future of education based …

Education is crucial for the development of any country. Analysis of education datasets
requires effective algorithms to extract hidden information and gain the fruitful results to …

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 …

Recently the University Grants Commission of India has introduced a multistage
examination system in higher education institutes in the country. The new system, called the …

Poor academic performance in final exams at primary school level in Kenya is a strong
indicator that the student will not attain the desired career in future. It is therefore important to …