Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,36
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. pp. 237.
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
Quantità: 1 disponibili
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
Quantità: 2 disponibili
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
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo 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
Quantità: 2 disponibili
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.
Da: moluna, Greven, Germania
EUR 136,16
Quantità: Più di 20 disponibili
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 218,64
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
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 237.