• Association Rule Mining in EPC Global Networks
  • Association Rule Mining in EPC Global Networks

    Hai Quoc Le, Somjit Arch-int, Ngamnij Arch-int, Hai Van Tran

    1Faculty of Information Technology, Quang Tri Teacher Training College, Quang Tri, Vietnam
    2Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
    3Department of Information Technology, General Staff, Ministry of National Defense, Vietnam
    * Corresponding author: hai_lq@qtttc.edu.vn

    The widely use of Electronic Product Code Global Network (EPCglobal Network) supporting the use of Radio Frequency Identification (RFID) creates a huge data in EPCIS. The most important knowledge implicit in Electronic Product Code Information Service (EPCIS) database is the relationship amongst locations that products moved through such as number of products shipped between locations in an interval. The discovered knowledge is useful for supporting supplier selection and logistic improvement. Mining such knowledge is therefore very necessary in business. This paper proposed a new method for mining association rules from an EPCIS repository. Firstly, this paper defined new concepts of support and confidence of a rule. Secondly, the association rule was defined as the relationships of EPCs between two locations in a supply chain network regardless of the movement method. The EPC Association Rule Mining (EPCARM) algorithm was then proposed to discover all of the association rules satisfied the given thresholds. Finally, the experiment was executed to clarify the performance of the proposed algorithms.

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  • ผู้เขียน : i Quoc Le, Somjit Arch-int, Ngamnij Arch-int, Hai Van Tran
  • เผยแพร่ : 2016-02-16

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