Maritime knowledge discovery and anomaly detection. Workshop proceedings: Ispra, 5-6 July 2016

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• Foreword

Section I. Operational authorities

• Statistical anomaly detection for maritime surveillance and monitoring
• Portuguese navy perspective in maritime situational awareness - the anomaly detection
• Automated behaviour monitoring (abm) algorithms - operational use at emsa
• Sensors in nato maritime situational awareness

Section II. Private sector

• Analysis of vessel trajectories for maritime surveillance and fisheries management
• Exploiting the potential of the future 'maritime big data
• Generating and evaluating long-term complex maritime traffic relationships for risk assessment and mission planning via near-real-time big-data analytics
• Sea surface currents calculation using vessel tracking data
• Detecting anomalies in streams of ais vessel data

Section III. Research centres & academia

• Real time intelligence of ais data
• Visual analysis of vessel traffic safety by extracting events and orchestrating interactive filters
• Scalable estimation of port areas from ais data
• Data requirements for anomaly detection
• A fishing monitoring use case in support to collaborative research
• Contextual anomalous destination detection for maritime surveillance
• Automated processing system for sar target detection and identification in near real time applications for maritime situational awareness
• Data driven identification of migrant vessels at sea
• Methodology for real-time detection of ais falsification
• Improving the maritime traffic situation assessment for a single target in a multisensor environment
• A hybrid approach for the analysis of abnormal ship behaviors
• Maritime situational awareness in the high north
• Anomaly detection and knowledge discovery using vessel tracking data
• Conclusions and recommendations