Student performance in university courses is of great concern to the higher education where
several factors may affect the performance. This paper is an attempt to apply the data mining …

Educational data mining concerns with developing methods for discovering knowledge from
data that come from educational domain. In this paper we used educational data mining to …

Educational data mining concerns of developing methods to discover hidden patterns from
educational data. The quality of data mining techniques depends on the collected data and …

Notwithstanding the research attention given to the importance and capability of the student
relationship management strategy in higher education sustainability, there is no any …

This study provides insights for decision-makers contemplating the implementation of
Biometric Attendance Technology (BAT) for faculty in educational institutions. We conducted …

Universities are at the forefront of developing future human capital, but require new strategic
approaches to succeed. The present paper discusses the issues concerning the student …

A multiclass classification refers to the classification of the instance into more than two
classes. In real life many classification problem requires decisions among a set of …

The main objective of educational institutions is to provide high quality of education.
Providing a high quality of education depends on predicting the unmotivated students before …

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 …

Due to the upward trend in the globalization of sustainability issues and the intense
competitive environment, it is evident that higher education institutions need new strategic …