A distributed approach to estimating sea port operational regions from lots of AIS data

@article{Millefiori2016ADA,
  title={A distributed approach to estimating sea port operational regions from lots of AIS data},
  author={L. M. Millefiori and Dimitrios Zissis and L. Cazzanti and G. Arcieri},
  journal={2016 IEEE International Conference on Big Data (Big Data)},
  year={2016},
  pages={1627-1632}
}
  • L. M. Millefiori, Dimitrios Zissis, +1 author G. Arcieri
  • Published 2016
  • Computer Science
  • 2016 IEEE International Conference on Big Data (Big Data)
  • Seaports play a vital role in the global economy, as they operate as the connection corridors to all other modes of transport and as engines of growth for the wider region. But ports today are faced with numerous unique challenges and for them to remain competitive, significant investments are required. In support of greater transparency in policy making, decisions regarding investment need to be supported by data-driven intelligence. It is often an overlooked fact that seaports do not remain… CONTINUE READING
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