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Big Data Analytics for Time-Critical Mobility Forecasting From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains /

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important ev...

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Corporate Author: SpringerLink (Online service)
Other Authors: Vouros, George A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Andrienko, Gennady. (Editor, http://id.loc.gov/vocabulary/relators/edt), Doulkeridis, Christos. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pelekis, Nikolaos. (Editor, http://id.loc.gov/vocabulary/relators/edt), Artikis, Alexander. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jousselme, Anne-Laure. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ray, Cyril. (Editor, http://id.loc.gov/vocabulary/relators/edt), Cordero, Jose Manuel. (Editor, http://id.loc.gov/vocabulary/relators/edt), Scarlatti, David. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Database management.
Mathematical statistics.
Transportation engineering.
Traffic engineering.
Database Management.
Probability and Statistics in Computer Science.
Transportation Technology and Traffic Engineering.
Online Access:https://doi.org/10.1007/978-3-030-45164-6

Internet

https://doi.org/10.1007/978-3-030-45164-6

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