Masters Theses
Abstract
"The objective of this study is to produce a model which when given the information of a prospective student at the University of Missouri--Rolla will predict whether that student will enroll at the University or not. As a part of this goal, a dataset of student information for a particular semester was obtained in order to be used in designing the model. The information from this dataset was used to train Artificial Neural Networks and create Decision Trees. The models were created from information obtained in this manner"--Abstract, page iii.
Advisor(s)
Spurlock, David
Committee Member(s)
Dagli, Cihan H., 1949-
Montgomery, Robert
Department(s)
Engineering Management and Systems Engineering
Degree Name
M.S. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Fall 2002
Pagination
viii, 44 pages
Note about bibliography
Includes bibliographical references (pages 42-43).
Rights
© 2002 V. R. K. Raju Saripella, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
College choice
Neural networks (Computer science)
Decision trees
Thesis Number
T 8168
Print OCLC #
52725131
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.
http://merlin.lib.umsystem.edu/record=b4974657~S5Recommended Citation
Saripella, Venkata Rama Krishnam Raju, "A study of the college choice process & models using artificial neural networks and decision trees (C4.5)" (2002). Masters Theses. 2258.
https://scholarsmine.mst.edu/masters_theses/2258
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