Yusoff, Nooraini and Siraj, Fadzilah (2006) Supporting educational loan decision making using neural network. In: Proceedings of Knowledge Management International Conference & Exhibition (KMICE) , 6 - 8 June 2006 Legend Hotel Kuala Lumpur, Malaysia. Faculty of Information Technology, Universiti Utara Malaysia, Sintok, pp. 422-427. ISBN 9833282903

PDF Restricted to Registered users only Download (246kB)

Abstract

This study introduces i-Neuro, a decision support system that can assist in loan decision making by educational loan funding institutions. i-Neuro is a predictive system that integrates Neural Network technique, thus can help the management to predict which application to accept or reject. The prediction can be done as Neural Network has trained previous batch of loan application data and stored association between application characteristics (attributes) that explains which applications were accepted and rejected. The association in previous data can predict the new current application. The use of i-Neuro in loan application processing reduces the management workload by providing the list of eligible applicants based on the merit agreed by the management. As a result, the time required for loan application processing can be reduced as well as allowing the management to update the information in database easily. i-Neuro system has been tested on real data. It has shown to achieve satisfactory results and indicates its potential in facilitating the loan application processing.

Item Type:	Book Section
Additional Information:	Organised by Faculty of Information Technology, Universiti Utara Malaysia
Uncontrolled Keywords:	Neural Network, Decision Support System, Educational Loan, Intelligent System
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	29 May 2011 03:22
Last Modified:	29 May 2011 03:22
URI:	https://repo.uum.edu.my/id/eprint/3196

Actions (login required)

View Item