A review of KDD-data mining framework and its application in logistics and transportation
In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and r...
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| Format: | Book Section |
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IEEE Explorer
2011
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| _version_ | 1796856414844485632 |
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| author | Rahman, F. A. Desa, Mohamad Ishak Wibowo, Antoni |
| author_facet | Rahman, F. A. Desa, Mohamad Ishak Wibowo, Antoni |
| author_sort | Rahman, F. A. |
| collection | ePrints |
| description | In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation 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 data mining 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 expectations. The paper is concluded by proposing a framework for actionable knowledge discovery and data mining to be tested within the context of transportation industry. |
| first_indexed | 2024-03-05T18:42:36Z |
| format | Book Section |
| id | utm.eprints-28639 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:42:36Z |
| publishDate | 2011 |
| publisher | IEEE Explorer |
| record_format | dspace |
| spelling | utm.eprints-286392017-06-15T02:20:07Z http://eprints.utm.my/28639/ A review of KDD-data mining framework and its application in logistics and transportation Rahman, F. A. Desa, Mohamad Ishak Wibowo, Antoni QA75 Electronic computers. Computer science In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation 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 data mining 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 expectations. The paper is concluded by proposing a framework for actionable knowledge discovery and data mining to be tested within the context of transportation industry. IEEE Explorer 2011 Book Section PeerReviewed Rahman, F. A. and Desa, Mohamad Ishak and Wibowo, Antoni (2011) A review of KDD-data mining framework and its application in logistics and transportation. In: Proceedings - 7th International Conference on Networked Computing and Advanced Information Management, NCM 2011. IEEE Explorer, pp. 175-180. ISBN 978-898867836-7 https://pure.utm.my/en/publications/a-review-of-kdd-data-mining-framework-and-its-application-in-logi |
| spellingShingle | QA75 Electronic computers. Computer science Rahman, F. A. Desa, Mohamad Ishak Wibowo, Antoni A review of KDD-data mining framework and its application in logistics and transportation |
| title | A review of KDD-data mining framework and its application in logistics and transportation |
| title_full | A review of KDD-data mining framework and its application in logistics and transportation |
| title_fullStr | A review of KDD-data mining framework and its application in logistics and transportation |
| title_full_unstemmed | A review of KDD-data mining framework and its application in logistics and transportation |
| title_short | A review of KDD-data mining framework and its application in logistics and transportation |
| title_sort | review of kdd data mining framework and its application in logistics and transportation |
| topic | QA75 Electronic computers. Computer science |
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