Abstract Applying Data Mining (DM) in education is an emerging interdisciplinary research
field also known as Educational Data Mining (EDM). Ensemble techniques have been …

Electronic learning management systems provide live environments for students and faculty
members to connect with their institutional online portals and perform educational activities …

Predicting the student performance is a great concern to the higher education
managements. This prediction helps to identify and to improve students' performance …

Educational data mining is a growing academic research area which aims to gain significant
insights on student behavior, interactions and performance by applying data mining …

The knowledge obtained from data can be useful for the improvement of education systems,
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …

Academic success for students in any educational institute is the primary requirement for all
stakeholders, ie, students, teachers, parents, administrators and management, industry, and …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …