Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 123,65
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.
Da: preigu, Osnabrück, Germania
EUR 131,05
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Spatial Data Handling in Big Data Era | Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 | Chenghu Zhou (u. a.) | Taschenbuch | xiii | Englisch | 2018 | Springer | EAN 9789811351334 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condizione: New. pp. 237.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 181,24
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 153,90
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.
Da: Revaluation Books, Exeter, Regno Unito
EUR 234,14
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Aggiungi al carrelloHardcover. Condizione: Brand New. 252 pages. 9.25x6.10x0.79 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 248,01
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 126,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811351333 ISBN 13: 9789811351334
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 117,69
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience. 252 pp. Englisch.
Da: moluna, Greven, Germania
EUR 101,04
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest research on the handling of massive data collectionsIntroduces new methods, algorithms and applications of spatial dataProvides an important contribution to the popular topic of Big Data.
Da: Majestic Books, Hounslow, Regno Unito
EUR 161,54
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 161,60
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer Nature Singapore Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience. 252 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Dez 2018, 2018
ISBN 10: 9811351333 ISBN 13: 9789811351334
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 117,69
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest research on the handling of massive data collectionsIntroduces new methods, algorithms and applications of spatial dataProvides an important contribution to the popular topic of Big Data.
Da: Majestic Books, Hounslow, Regno Unito
EUR 218,94
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 237.
Lingua: Inglese
Editore: Springer, Springer Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 218,72
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 237.