International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 5, Issue 1 (January 2018), Pages: 8-14

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 Original Research Paper

 Title: A case study in knowledge acquisition for logistic cargo distribution data mining framework

 Author(s): Puteri N. E. Nohuddin 1, *, Zuraini Zainol 2, Angela S. H. Lee 3, A. Imran Nordin 1, Zaharin Yusoff 3

 Affiliation(s):

 1Institute of Visual Informatics, National University of Malaysia 43600 Bangi, Selangor, Malaysia
 2Department of Computer Science, Faculty of Science and Defence Technology, National Defence University of Malaysia, Sungai Besi Camp 57000 Kuala Lumpur, Malaysia
 3Deparment of Computing and Information Systems, Sunway University, Sunway University, Malaysia

 https://doi.org/10.21833/ijaas.2018.01.002

 Full Text - PDF          XML

 Abstract:

Knowledge acquisition is one of important aspect of Knowledge Discovery in Databases to ensure the correct and interesting knowledge is extracted and represented to the stakeholders and decision makers. The process can undertake using several techniques as such in this study, it is using data mining to extract the knowledge patterns and representing the knowledge described using ontology based representation. In this paper, a data set of Logistic Cargo Distribution is selected for the experiment. The dataset describes the shipment of logistic items for the Malaysian Army. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Knowledge acquisition, Data mining, Knowledge representation

 Article History: Received 8 August 2017, Received in revised form 16 October 2017, Accepted 10 November 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.01.002

 Citation:

 Nohuddin PNE, Zainol Z, Lee ASH, Nordin AI, and Yusoff Z (2018). A case study in knowledge acquisition for logistic cargo distribution data mining framework. International Journal of Advanced and Applied Sciences, 5(1): 8-14

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I1/Nohuddin.html

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