An improvement of Knowledge Discovery Database (KDD) framework for effective decision
In this study, an understanding and a review of Knowledge Discovery Database (KDD) development and its applications in tire maintenance are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-wor...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Asian Network for Scientific Information
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74332/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999098066&doi=10.3923%2fjai.2016.72.77&partnerID=40&md5=d812ac49eb549416d77261ab678c72b0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.74332 |
---|---|
record_format |
eprints |
spelling |
my.utm.743322017-11-29T23:58:42Z http://eprints.utm.my/id/eprint/74332/ An improvement of Knowledge Discovery Database (KDD) framework for effective decision Rahman, F. A. Desa, M. I. Wibowo, A. Haris, N. A. T Technology (General) In this study, an understanding and a review of Knowledge Discovery Database (KDD) development and its applications in tire maintenance are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very little is known to date about the usefulness of applying knowledge discovery in transport related research. From the literature, the frameworks for carrying out knowledge discovery and data mining have been revised over the years to meet the business requirements. The Domain Driven Data Mining (DDDM) is one of the KDD frameworks often used for this purpose. In this study, we apply DDDM-KDD for formulating effective tire maintenance strategy within the context of a Malaysian's logistics company. We also discussed the weaknesses of the results from DDDM-KDD and emphasize the important of using the next generation of KDD framework Actionable Knowledge Discovery (AKD) for an effective decision. The direction flow of research, research methods use and contribution of research also are highlighted. Asian Network for Scientific Information 2016 Article PeerReviewed Rahman, F. A. and Desa, M. I. and Wibowo, A. and Haris, N. A. (2016) An improvement of Knowledge Discovery Database (KDD) framework for effective decision. Journal of Artificial Intelligence, 9 (4). pp. 72-77. ISSN 1994-5450 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999098066&doi=10.3923%2fjai.2016.72.77&partnerID=40&md5=d812ac49eb549416d77261ab678c72b0 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Rahman, F. A. Desa, M. I. Wibowo, A. Haris, N. A. An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
description |
In this study, an understanding and a review of Knowledge Discovery Database (KDD) development and its applications in tire maintenance are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very little is known to date about the usefulness of applying knowledge discovery in transport related research. From the literature, the frameworks for carrying out knowledge discovery and data mining have been revised over the years to meet the business requirements. The Domain Driven Data Mining (DDDM) is one of the KDD frameworks often used for this purpose. In this study, we apply DDDM-KDD for formulating effective tire maintenance strategy within the context of a Malaysian's logistics company. We also discussed the weaknesses of the results from DDDM-KDD and emphasize the important of using the next generation of KDD framework Actionable Knowledge Discovery (AKD) for an effective decision. The direction flow of research, research methods use and contribution of research also are highlighted. |
format |
Article |
author |
Rahman, F. A. Desa, M. I. Wibowo, A. Haris, N. A. |
author_facet |
Rahman, F. A. Desa, M. I. Wibowo, A. Haris, N. A. |
author_sort |
Rahman, F. A. |
title |
An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
title_short |
An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
title_full |
An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
title_fullStr |
An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
title_full_unstemmed |
An improvement of Knowledge Discovery Database (KDD) framework for effective decision |
title_sort |
improvement of knowledge discovery database (kdd) framework for effective decision |
publisher |
Asian Network for Scientific Information |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/74332/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999098066&doi=10.3923%2fjai.2016.72.77&partnerID=40&md5=d812ac49eb549416d77261ab678c72b0 |
_version_ |
1643656836624154624 |
score |
13.209306 |