Following World War II, a great need for higher education institutions arose in the United States, and the higher education leaders built institutions on “build it and they will come ” basis. After the World War II, enrollment in the public as well as the private institutions soared (Greenberg, 2004); however, thi
Research shows that middle school is an important juncture for a student where he or she starts to b...
This article attempts to provide a framework for predicting enrollments accurately and in a timely f...
AbstractIn the current times, one of the biggest challenges that educational institutions face in bo...
The future of higher education enrollment in the Unied States is clouded. Until recently college enr...
The purpose of this investigation is to identify various economic, societal, and institutional varia...
This paper introduces a case study using data mining techniques to assist higher education instituti...
Institutions of higher education are tasked with making decisions that will impact their students, f...
This paper presented the utilization of pattern discovery techniques by using multiple relationships...
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and st...
Predictive modeling using data mining methods for early identification of students at risk can be ve...
Machine Learning plays an indispensable role in a number of free or commercial predictive analytics ...
This article aims to analyze how data mining (DM) optimizes the enrollment process, with the intenti...
Note: This paper is intended for private circulation and should not be quoted or referred to in publ...
The purpose of the study was to determine the role of various economic, social, and institutional va...
Abstract: Educational data mining is the process of applying data mining tools and techniques to ana...
Research shows that middle school is an important juncture for a student where he or she starts to b...
This article attempts to provide a framework for predicting enrollments accurately and in a timely f...
AbstractIn the current times, one of the biggest challenges that educational institutions face in bo...
The future of higher education enrollment in the Unied States is clouded. Until recently college enr...
The purpose of this investigation is to identify various economic, societal, and institutional varia...
This paper introduces a case study using data mining techniques to assist higher education instituti...
Institutions of higher education are tasked with making decisions that will impact their students, f...
This paper presented the utilization of pattern discovery techniques by using multiple relationships...
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and st...
Predictive modeling using data mining methods for early identification of students at risk can be ve...
Machine Learning plays an indispensable role in a number of free or commercial predictive analytics ...
This article aims to analyze how data mining (DM) optimizes the enrollment process, with the intenti...
Note: This paper is intended for private circulation and should not be quoted or referred to in publ...
The purpose of the study was to determine the role of various economic, social, and institutional va...
Abstract: Educational data mining is the process of applying data mining tools and techniques to ana...
Research shows that middle school is an important juncture for a student where he or she starts to b...
This article attempts to provide a framework for predicting enrollments accurately and in a timely f...
AbstractIn the current times, one of the biggest challenges that educational institutions face in bo...