Record Details

A study of academic performance of business school graduates using neural network and statistical techniques

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title A study of academic performance of business school graduates using neural network and statistical techniques
 
Creator PALIWAL, M
KUMAR, UA
 
Subject regression
academic performance
discriminant analysis
logistic regression
neural network
regression analysis
 
Description Over the past several years, there is tremendous increase in the number of applicants to business schools and hence adequately measuring the potential of these Students with regard to their academic performance is an important process of admission decision for any business school. In the present study, an analysis is carried Out to predict the academic performance of business school graduates using neural networks and traditional statistical techniques and results are compared to evaluate the performance of these techniques. The underlying constructs in a traditional business school curriculum are also identified and its relevance with the various elements of admission process is presented. (C) 2008
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-08-23T09:47:37Z
2011-12-26T12:56:24Z
2011-12-27T05:45:06Z
2011-08-23T09:47:37Z
2011-12-26T12:56:24Z
2011-12-27T05:45:06Z
2009
 
Type Article
 
Identifier EXPERT SYSTEMS WITH APPLICATIONS, 36(4), 7865-7872
0957-4174
http://dx.doi.org/10.1016/j.eswa.2008.11.003
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10478
http://hdl.handle.net/10054/10478
 
Language en