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Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
| Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 385.0724 |
| Soggetto topico |
Database management
Mathematical statistics Transportation engineering Traffic engineering Database Management Probability and Statistics in Computer Science Transportation Technology and Traffic Engineering |
| ISBN | 3-030-45164-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting. |
| Record Nr. | UNISA-996465364603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics for Time-Critical Mobility Forecasting : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
| Big Data Analytics for Time-Critical Mobility Forecasting : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 385.0724 |
| Soggetto topico |
Database management
Computer science - Mathematics Mathematical statistics Transportation engineering Traffic engineering Database Management Probability and Statistics in Computer Science Transportation Technology and Traffic Engineering |
| ISBN | 3-030-45164-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting. |
| Record Nr. | UNINA-9910410034403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats
| Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 249 p. 87 illus., 70 illus. in color.) |
| Disciplina | 385.0724 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Transportation engineering
Traffic engineering Mathematics - Data processing Computer simulation Aerospace engineering Astronautics Big data Transportation Technology and Traffic Engineering Computational Science and Engineering Computer Modelling Aerospace Technology and Astronautics Big Data |
| ISBN | 3-030-37752-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminary Table of Contents: Reviews and perspectives -- White paper: Computational models for the model shift: a State of the art review, by Sara Ahetze Puignau, Jordi Pons-Prats, Sergi Sauri -- Part 1. Maritime -- Shipping 4.0 – Digitalization of maritime industry, by Trond Kvamsdal -- Challenges on computational models for ship design and navigation: Ongoing projects at CIMNE, by Julio Garcia -- Fast Simulation-Assisted Shape Correction after Machining, by Ramiro Mena -- Part 2. Automotive -- Design optimization challenges and opportunities for mobility applications, by Carlo Poloni -- PGD for interactive aerodynamic optimization, by Vasilis Tsiolakis and Henry Bensler -- Parametric wave progation for radar simulation, by Rubén Ibañez -- Application of Big Data Analytics for Understanding the Complexity of Vehicle Routing Problems, by Jussi Rasku and Tommi Karkkainen -- Part 3. Logistics -- Transport management with LogiApps: Maximizing efficiency with optimization and simplicity, by Jyri Leskinen, Panu Silvasti, and Jukka Toivanen -- Optimization of fleets and their Propulsive alternatives by operating under Motorways of the Sea conditions to Improve their Environmental Results and the Feasibility of the intermodal chains, by Alba Martínez-López and Lourdes Trujillo -- Part 4. Aeronautics -- Public Health Concerns Regarding Modern Transportation, by William E. Fitzgibbon -- Aircraft Multidisciplinary Design chain Opportunities and Transport Challenges, by Adel Abbas -- Part 5. White paper: Computation and Big Data Challenges and perspectives for Transport. |
| Record Nr. | UNINA-9910377819903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||