A study of the college choice process & models using artificial neural networks and decision trees (C4.5)

Author

Venkata Rama Krishnam Raju Saripella

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.

Recommended 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