Titlebook: Big Data Analytics for Time-Critical Mobility Forecasting; From Raw Data to Tra George A. Vouros,Gennady Andrienko,David Scarlatti Book 202

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Visual Analytics in the Aviation and Maritime Domains in data analysis and problem solving. It develops a methodology of analysis that facilitates human activities by means of interactive visual representations of information. By examples from the domains of aviation and maritime transportation, we demonstrate the essence of the visual analytics metho

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Trajectory Detection and Summarization over Surveillance Data Streamsifically for sailing vessels and flying aircraft. Assuming that surveillance data monitoring their locations over a large geographical area is available in a streaming fashion, this novel methodology drops any predictable positions (along trajectory segments of “normal” motion characteristics) with

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Event Processing for Maritime Situational Awarenessnd garbage, smuggling, piracy and more. We present our efforts to combine two stream reasoning technologies for detecting such activities in real time: a formal, computational framework for composite maritime event recognition, based on the Event Calculus, and an industry-strong maritime anomaly det

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Offline Trajectory Analyticsphones and tablets. This massive-scale data generation has posed new challenges in the data management community in terms of storing, querying, analyzing, and extracting knowledge out of such data. Knowledge discovery out of mobility data is essentially the goal of every mobility data analytics task