Risk event identification in maritime data and usage thereof

Method, system and product for risk event identification in maritime data and usage thereof. Ram maritime data is analyzed to produce for each vessel a vessel story. The vessel story comprises a set of activities and corresponding timestamps, that are deduced from the raw maritime data. A pattern, t...

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Bibliographische Detailangaben
Hauptverfasser:	Rotem Abeles, Omid Rokni, Ido Sovran, Maksim Bocharenko, Tomer Benyamini, Ilan Atias, Yaniv Meoded, Yonit Hoffman, Yair Mazor
Format:	Patent
Sprache:	eng
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION SIGNALLING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING TRAFFIC CONTROL SYSTEMS
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Beschreibung
Zusammenfassung:	Method, system and product for risk event identification in maritime data and usage thereof. Ram maritime data is analyzed to produce for each vessel a vessel story. The vessel story comprises a set of activities and corresponding timestamps, that are deduced from the raw maritime data. A pattern, that conforms with a risk event, in the vessel story associated with a vessel. The risk event is validated using the raw maritime data or using one or more vessel stories. So, the risk event is identified using reduced resources in comparison with resources required to identify the risk event in the raw maritime data, and without increasing false positive metrics. Additionally, or alternatively, a pattern, that conforms with a risk event, in the vessel story associated with a first vessel is identified. The risk event is validated using the vessel story associated with a second vessel. So, the risk event is identified using reduced resources in comparison with resources required to identify the risk event in the raw maritime data without increasing false positive metrics.