Development of Efficient Network Analysis System for Revealing Potential Trade Risk Factors in e-Customs - Volume 7 Number 1 (Mar. 2018) - IJFCC
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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2018 Vol.7(1): 6-9 ISSN: 2010-3751
DOI: 10.18178/ijfcc.2018.7.1.511

Development of Efficient Network Analysis System for Revealing Potential Trade Risk Factors in e-Customs

Dongmin Seo and Min-Ho Lee
Abstract—Recently, various network analysis methods has been utilized to reveal undisclosed knowledge in a variety of fields. In particular, these methods are used to reveal potential trade risk factors in e-Customs. However, existing methods do not provide a fast response time to user queries, mainly due to the large size of the data and the complexity of relationships between the data in e-Custom. In this paper, we propose an efficient network analysis system for revealing potential trade risk factors in e-Custom. The system proposes an efficient subgraph matching method and visualization tool to find the relationships between the data in a network. It quickly finds complicated relationships and dramatically reduces the number of unnecessary searches. Also, to verify the superiority of our method, we compare our method with existing method in various experiments.

Index Terms—Network analysis, subgraph matching, e-customs, big-data.

Dongmin Seo and Min-Ho Lee are with the Korea Institute of Science and Technology Information, Daejeon, Republic of Korea (e-mail: dmseo@ kisti.re.kr, cokeman@ kisti.re.kr).

[PDF]

Cite: Dongmin Seo and Min-Ho Lee, "Development of Efficient Network Analysis System for Revealing Potential Trade Risk Factors in e-Customs," International Journal of Future Computer and Communication vol. 7, no. 1, pp. 6-9, 2018.

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