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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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
IEEE Explorer
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/28639/ http://eprints.utm.my/28639/ |
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| Summary: | 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. |
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