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...

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Main Authors: Rahman, F. A., Desa, M. I., Wibowo, A., Haris, N. A.
Format: Article
Published: Asian Network for Scientific Information 2016
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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
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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
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score 13.209306