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Deploying artifical intelligence techniques in loan application processing

The granting of loans by a financial institution is one of the important decisions that require insubstantial care. The institution usually employs loan officers to make credit decisions or recommendations for that particular institution. These officers are given some hard roles in evaluating the wo...

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Main Authors: Siraj, Fadzilah, Yusoff, Nooraini
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Q Science (General)
Online Access:http://repo.uum.edu.my/1521/1/Prof_Madya_Fadzilah_Siraj.pdf
http://repo.uum.edu.my/1521/
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spelling my.uum.repo.15212010-11-12T01:56:44Z http://repo.uum.edu.my/1521/ Deploying artifical intelligence techniques in loan application processing Siraj, Fadzilah Yusoff, Nooraini Q Science (General) The granting of loans by a financial institution is one of the important decisions that require insubstantial care. The institution usually employs loan officers to make credit decisions or recommendations for that particular institution. These officers are given some hard roles in evaluating the worthiness of each application. Some researchers recognize that the capability of humans to judge the worthiness of a loan is rather poor. Since business data warehouses store historical data from previous application, it is likely that there is knowledge hidden in this data may be useful in decision making. Unfortunately the task of discovering hidden information and useful relationship from data is difficult for human. This is due the fact that the data to be examined is very large and the nature of the relationship within the data is not obvious. To this end, Artificial Intelligence (AI) techniques can be beneficial to assist the decision maker in making decisions regarding loan application. AI provides a variety of useful tool for discovering the non-obvious relationships in historical data, while ensuring those relationships discovered will generalize to the future data. This knowledge is important and can be used by the loan officer in determining whether to accept or reject an application. This study suggests that loan application processing system integrates two components of computer-based information system namely, office automation system and AI system that comprises of intelligent decision support system and knowledge based system. In essence, the potential use of such a system can be accelerated to promote any organizations as an efficient and effective organization that has competitive advantage. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/1521/1/Prof_Madya_Fadzilah_Siraj.pdf Siraj, Fadzilah and Yusoff, Nooraini (2005) Deploying artifical intelligence techniques in loan application processing. In: Konvensyen Teknologi Pendidikan Ke 18, 16 –19 September 2005, Terengganu, Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Siraj, Fadzilah
Yusoff, Nooraini
Deploying artifical intelligence techniques in loan application processing
description The granting of loans by a financial institution is one of the important decisions that require insubstantial care. The institution usually employs loan officers to make credit decisions or recommendations for that particular institution. These officers are given some hard roles in evaluating the worthiness of each application. Some researchers recognize that the capability of humans to judge the worthiness of a loan is rather poor. Since business data warehouses store historical data from previous application, it is likely that there is knowledge hidden in this data may be useful in decision making. Unfortunately the task of discovering hidden information and useful relationship from data is difficult for human. This is due the fact that the data to be examined is very large and the nature of the relationship within the data is not obvious. To this end, Artificial Intelligence (AI) techniques can be beneficial to assist the decision maker in making decisions regarding loan application. AI provides a variety of useful tool for discovering the non-obvious relationships in historical data, while ensuring those relationships discovered will generalize to the future data. This knowledge is important and can be used by the loan officer in determining whether to accept or reject an application. This study suggests that loan application processing system integrates two components of computer-based information system namely, office automation system and AI system that comprises of intelligent decision support system and knowledge based system. In essence, the potential use of such a system can be accelerated to promote any organizations as an efficient and effective organization that has competitive advantage.
format Conference or Workshop Item
author Siraj, Fadzilah
Yusoff, Nooraini
author_facet Siraj, Fadzilah
Yusoff, Nooraini
author_sort Siraj, Fadzilah
title Deploying artifical intelligence techniques in loan application processing
title_short Deploying artifical intelligence techniques in loan application processing
title_full Deploying artifical intelligence techniques in loan application processing
title_fullStr Deploying artifical intelligence techniques in loan application processing
title_full_unstemmed Deploying artifical intelligence techniques in loan application processing
title_sort deploying artifical intelligence techniques in loan application processing
publishDate 2005
url http://repo.uum.edu.my/1521/1/Prof_Madya_Fadzilah_Siraj.pdf
http://repo.uum.edu.my/1521/
_version_ 1644277997069402112
score 13.211869

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