Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 208,99
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Añadir al carritoCondición: New. pp. 237.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 153,90
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 234,14
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Añadir al carritoHardcover. Condición: Brand New. 252 pages. 9.25x6.10x0.79 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 248,01
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Añadir al carritoHardcover. Condición: New. New. book.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer Nature Singapore Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoGebunden. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 218,64
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 237.
Idioma: Inglés
Publicado por Springer, Springer Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 218,72
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 237.