In this day and age, choosing a career is hard work. Most students do not understand the
concept of work from the early stages of their lives because they lack the development and …

The purpose of this study is to conduct an empirical investigation and comparison of the
effectiveness of various classifiers and ensembles of classifiers in predicting academic …

The main goal of this research is to analyze the employee performance associated with
organization's growth. The research starts with collecting the employee information and then …

Abstract Higher Education Institutions are always concerned about their students'
employability, so it is ideal to have a mechanism to forecast students' employability at an …

The level of the student may change at the undergraduate level from his level in
intermediate or secondary school. Educational and personal factors may affect the …

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) …

Predicting students' performance has emerged as an attractive task among researchers.
They use supervised and unsupervised educational data mining (EDM) techniques to build …

Educational Data Mining and Deep learning play a crucial role in identifying academically
weak students of an institute and help them by developing different recommendation …

The main aim of any university is to reinforce the academic performance of every student.
Excelling at every course is the primary aspect for overall academic success. Thus, it is …

Academic data mining impacts a large number of educational institutions, significantly,
playing a prime role in accumulating, studying, and analyzing the academic data. The …