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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. | UNINA-9910410034403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
Fifth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV 2007): Zurich, Switzerland - 02 July 2007
| Fifth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV 2007): Zurich, Switzerland - 02 July 2007 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society Press, 2007 |
| Disciplina | 006.3/7 |
| Altri autori (Persone) |
AndrienkoGennady
RobertsJonathan (Jonathan C.) WeaverChris (Christopher Eric) |
| ISBN | 1-5090-8778-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996202055503316 |
| [Place of publication not identified], : IEEE Computer Society Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Fifth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV 2007): Zurich, Switzerland - 02 July 2007
| Fifth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV 2007): Zurich, Switzerland - 02 July 2007 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society Press, 2007 |
| Disciplina | 006.3/7 |
| Altri autori (Persone) |
AndrienkoGennady
RobertsJonathan (Jonathan C.) WeaverChris (Christopher Eric) |
| ISBN | 1-5090-8778-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910142721003321 |
| [Place of publication not identified], : IEEE Computer Society Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2006 : 4 July 2006, London, England : proceedings
| Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2006 : 4 July 2006, London, England : proceedings |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2006 |
| Soggetto topico |
Information display systems
Information visualization Computer vision Computer graphics Image processing Electrical & Computer Engineering Electrical Engineering Engineering & Applied Sciences |
| ISBN | 1-5090-9426-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996197737103316 |
| [Place of publication not identified], : IEEE Computer Society, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2006 : 4 July 2006, London, England : proceedings
| Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2006 : 4 July 2006, London, England : proceedings |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2006 |
| Soggetto topico |
Information display systems
Information visualization Computer vision Computer graphics Image processing Electrical & Computer Engineering Electrical Engineering Engineering & Applied Sciences |
| ISBN | 1-5090-9426-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910145451303321 |
| [Place of publication not identified], : IEEE Computer Society, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Visual Analytics for Data Scientists [[electronic resource] /] / by Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel
| Visual Analytics for Data Scientists [[electronic resource] /] / by Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel |
| Autore | Andrienko Natalia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina | 001.4226 |
| Soggetto topico |
Data mining
Artificial intelligence Pattern recognition Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition |
| ISBN | 3-030-56146-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Introduction to Visual Analytics in Data Science -- 1. Introduction to Visual Analytics by an Example -- 2. General Concepts -- 3. Principles of Interactive Visualisation -- 4. Computational Techniques in Visual Analytics -- Part II: Visual Analytics along the Data Science Workflow -- 5. Visual Analytics for Investigating and Processing Data -- 6. Visual Analytics for Understanding Multiple Attributes -- 7. Visual Analytics for Understanding Relationships between Entities -- 8. Visual Analytics for Understanding Temporal Distributions and Variations -- 9. Visual Analytics for Understanding Spatial Distributions and Spatial Variation -- 10. Visual Analytics for Understanding Phenomena in Space and Time -- 11. Visual Analytics for Understanding Texts -- 12. Visual Analytics for Understanding Images and Video -- 13. Computational Modelling with Visual Analytics -- 14. Conclusion. |
| Record Nr. | UNISA-996418270303316 |
Andrienko Natalia
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Visual Analytics for Data Scientists [[electronic resource] /] / by Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel
| Visual Analytics for Data Scientists [[electronic resource] /] / by Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel |
| Autore | Andrienko Natalia |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina | 001.4226 |
| Soggetto topico |
Data mining
Artificial intelligence Pattern recognition Data Mining and Knowledge Discovery Artificial Intelligence Pattern Recognition |
| ISBN | 3-030-56146-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Introduction to Visual Analytics in Data Science -- 1. Introduction to Visual Analytics by an Example -- 2. General Concepts -- 3. Principles of Interactive Visualisation -- 4. Computational Techniques in Visual Analytics -- Part II: Visual Analytics along the Data Science Workflow -- 5. Visual Analytics for Investigating and Processing Data -- 6. Visual Analytics for Understanding Multiple Attributes -- 7. Visual Analytics for Understanding Relationships between Entities -- 8. Visual Analytics for Understanding Temporal Distributions and Variations -- 9. Visual Analytics for Understanding Spatial Distributions and Spatial Variation -- 10. Visual Analytics for Understanding Phenomena in Space and Time -- 11. Visual Analytics for Understanding Texts -- 12. Visual Analytics for Understanding Images and Video -- 13. Computational Modelling with Visual Analytics -- 14. Conclusion. |
| Record Nr. | UNINA-9910483123703321 |
|
Andrienko Natalia
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||