Now showing items 1-2 of 2

    • Data-driven detection and context-based classification of maritime anomalies 

      Pallotta, Giuliana; Jousselme, Anne-Laure (CMRE, 2019/06)
      Discovering anomalies at sea is one of the critical tasks of Maritime Situational Awareness (MSA) activities and an important enabler for maritime security operations. This paper proposes a data-driven approach to anomaly ...
    • Mining maritime vessel traffic: promises, challenges, techniques 

      Cazzanti, Luca; Pallotta, Giuliana (CMRE, 2019/06)
      This paper discusses machine learning and data mining approaches to analyzing maritime vessel traffic based on the Automated Information System (AIS). We review recent efforts to apply machine learning techniques to AIS ...