Anomaly detection in spatiotemporal data in the maritime domain

@article{Avram2012AnomalyDI,
  title={Anomaly detection in spatiotemporal data in the maritime domain},
  author={Vladimir Avram and Uwe Gl{\"a}sser and Hamed Yaghoubi Shahir},
  journal={2012 IEEE International Conference on Intelligence and Security Informatics},
  year={2012},
  pages={147-149}
}
Maritime security is critical for many nations to address the vulnerability of their sea lanes, ports and harbours to a variety of threats and illegal activities. With increasing volume of spatiotemporal data, it is ever more problematic to analyze the enormous volume of data in real time. This paper explores a novel approach to representing spatiotemporal data for model-driven methods for detecting patterns of anomalous behaviour in spatiotemporal datasets. 
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