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

Puteri Nohuddin, and Zuraini Zainol, and Lee, Angela Siew Hoong * and Imran Nordin, and Zaharin Yusoff, * (2018) A case study in knowledge acquisition for logistic cargo distribution data mining framework. International Journal of Advanced and Applied Sciences, 5 (1). pp. 8-14. ISSN 2313-3724

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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.

Item Type: Article
Uncontrolled Keywords: Knowledge acquisition; Data mining; Knowledge representation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 12 Apr 2018 07:09
Last Modified: 07 Oct 2020 04:52
URI: http://eprints.sunway.edu.my/id/eprint/795

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