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Title: Mining Maritime schedules for analysing global shipping networks
Authors: Doshi, D.
Malhotra, B.
Bressan, S. 
Lam, J.S.L.
Keywords: Algorithms
Data mining
Maritime schedules
Shipping networks
Issue Date: 2012
Citation: Doshi, D.,Malhotra, B.,Bressan, S.,Lam, J.S.L. (2012). Mining Maritime schedules for analysing global shipping networks. International Journal of Business Intelligence and Data Mining 7 (3) : 186-202. ScholarBank@NUS Repository.
Abstract: Shipping plays a vital role as trade facilitator in providing cost-effi cient transportation. The International Maritime Organisation (IMO) reports that over 90% of the world trade volume is carried by merchant ships. The analysis of shipping networks therefore can create invaluable insight into global trade. In this paper we study the appropriateness of various graph centrality measures to rate, compare and rank ports from various perspectives of global shipping networks. In particular, we illustrate the potential of such analysis on the example of shipping networks constructed from the schedules, readily available on the World Wide Web, of six shipping companies that transport 35-40% of the total volume traded (in TEUs) worldwide. Copyright © 2012 Inderscience Enterprises Ltd.
Source Title: International Journal of Business Intelligence and Data Mining
ISSN: 17438187
DOI: 10.1504/IJBIDM.2012.049554
Appears in Collections:Staff Publications

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