Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 104,94
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. SUPER FAST SHIPPING.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 111,48
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 137,18
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 128,17
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 148,47
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. SUPER FAST SHIPPING.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 155,36
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 156,98
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,14
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Publicado por Springer Nature Singapore, 2018
ISBN 10: 9811351333 ISBN 13: 9789811351334
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 123,65
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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: Mispah books, Redhill, SURRE, Reino Unido
EUR 180,35
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. New. book.
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 153,90
Convertir monedaCantidad 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.
Publicado por Springer Nature Singapore, Springer Nature Singapore Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 233,32
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 252 pages. 9.25x6.10x0.79 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 233,74
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. New. book.
Publicado por Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811351333 ISBN 13: 9789811351334
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 117,69
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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 101,04
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. 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 162,12
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Publicado por Springer Nature Singapore Mai 2017, 2017
ISBN 10: 9811044236 ISBN 13: 9789811044236
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
Convertir monedaCantidad 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: Biblios, Frankfurt am main, HESSE, Alemania
EUR 166,92
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Publicado por Springer Nature Singapore, Springer Dez 2018, 2018
ISBN 10: 9811351333 ISBN 13: 9789811351334
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 117,69
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 136,16
Convertir monedaCantidad disponible: Más de 20 disponibles
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.