Student admission's process is a method of selecting qualified candidates for admission.
Challenges such as facility constraints and insufficient ability to meet the continuously rising …

Decision making by applying data mining methods is being used in many service
organizations. Educational bodies gradually started to use the business intelligence …

ABSTRACT Recently, Predictive Analysis using machine learning and data science has had
greater growth in almost every field. Predictive analysis for predicting student performance …

In this era of Cloud Computing and Machine Learning where every kind of work is getting
automated through machine learning techniques running off of cloud servers to complete …

In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …

Based on the advancement in the field of Artificial Intelligence, there is still a room for
enhancement of student university retention. The main objective of this study is to assess the …

Most of the educational institutes and entities have an urgent desire to predict and measure
student performance. This prediction helps them in assuring student retention, facilitating …

An important obligation of educational planning is the projection of students «¤?? enrollment
which forms the basis for many of the investment decisions. Enrollment projection provides …

Recently, engineers are concentrating on designing an effective prediction model for finding
the rate of student admission in order to raise the educational growth of the nation. The …

Educational data mining has become an increasingly popular field of research in recent
years due to the vast amount of student data held by educational institutions. This data can …