Student graduation rates have always taken prominence in academic studies since they are
considered a major factor in the performance of any university. Accurate models for …

The objective of this research is to employ data mining tools and techniques on student
enrollment data to predict student retention among freshman student populations. In …

In this dissertation, I have presented algorithms, which are applied to monitor undergraduate
student retention using student data. The study has also made some improvements to the …

The main objective of higher education is to provide quality education to students. One way
to achieve highest level of quality in higher education system is by discovering knowledge …

Affecting university rankings, school reputation, and financial well-being, student retention
has become one of the most important measures of success for higher education institutions …

We conduct a data mining project to generate predictive models for student retention
management on campus. Given new records of incoming students, these predictive models …

This study presents a systematic review of the literature on the predicting student retention in
higher education through machine learning algorithms based on measures such as dropout …

Literature indicates that data mining or algorithmic approaches to prediction can provide
superior results vis-à-vis traditional statistical modeling approaches (Delen et al, 2004; …

Student retention is an essential part of many enrollment management systems. It affects
university rankings, school reputation, and financial wellbeing. Student retention has …

First-year student retention rates for a four-year institution refers to the percentage of First-
time Full-time students from the previous fall who return to the same institution for the …