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Profile-based Recruiting of New Students

Authors:
Ray Hashemi
Louis Le Blanc
Azita Bahrami
Kevin Willett
Xaunna Krehn

Keywords: Profiling; Profiling Rules; Recruiting; Apriori Algorithm; Modified Rough Sets.

Abstract:
A profile-based recruiting of new students for an institution of higher education is more efficient, financially sound, and more successful. In this paper, two different methodologies, Aprioi Algorithm and Modified Rough Sets, are used to create profiles from historical data collected by an admissions office of a college in the southeast United States. The first approach delivered two and the second approach delivered five profiling rules. The profiling rules were evaluated against a test set. The success rate of the Apriori Algorithm and Modified Rough Sets were 87% and 75%, respectively. The first approach had the false positive of 6% a false negative of 4%. The second approach had a false positive of 10% and false negative of 2%.

Pages: 96 to 101

Copyright: Copyright (c) IARIA, 2012

Publication date: September 23, 2012

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-237-0

Location: Barcelona, Spain

Dates: from September 23, 2012 to September 28, 2012