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Méthodologie d’extraction de connaissances spatio-temporelles par fouille de données pour l’analyse de comportements à risques : application à la surveillance maritime

Abstract : The advent of positioning system technologies (AIS, radar, GPS, RFID, etc.), remote transmission (VHF, satellite, GSM, etc.), technological advances in embedded systems and low cost production, has enabled their deployment on a large scale. A huge amount of moving objects data are collected through these technologies and used in various applications such as real time monitoring surveillance of maritime traffic. The post-hoc analysis of data from moving ships and risk events may present interesting opportunities for the understanding and modeling support of risky behaviors. In this work, we propose a methodology based on Spatio-Temporal Data Mining for the knowledge discovery about potentially risky behaviors of ships. Based on this methodology, a workshop to support the analysis of behavior of ships is also proposed.
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https://pastel.archives-ouvertes.fr/tel-01124006
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2013ENMP0086.pdf
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  • HAL Id : tel-01124006, version 1

Citation

Bilal Idiri. Méthodologie d’extraction de connaissances spatio-temporelles par fouille de données pour l’analyse de comportements à risques : application à la surveillance maritime. Architecture, aménagement de l'espace. Ecole Nationale Supérieure des Mines de Paris, 2013. Français. ⟨NNT : 2013ENMP0086⟩. ⟨tel-01124006⟩

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