Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …

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

The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …

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 …

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 …

A few of the popular data-mining techniques are clustering, classification, and association.
The classification process simplifies the process of identifying and accessing data …

Abstract Educational Data Mining (EDM) is an emerging field that is concerned with mining
and exploring the useful patterns in educational data. The main objective of this study is to …

Nowadays, the application of data mining is widely prevalent in the education system. The
ability of data mining to obtain meaningful information from meaningless data makes it very …