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Spatial Network Big Databases
Details
This book provides a collection of concepts, algorithms, and techniques that effectively harness the power of Spatial Network Big Data. Reading this book is a first step towards understanding the immense challenges and novel applications of SNBD database systems. This book explores these challenges via investigating scalable graph-based query processing strategies and I/O efficient storage and access methods. This book will be of benefit to academics, researchers, engineers with a particular interest in network database models, network query processing, and physical storage models.
Introduces an overview of Spatial Network Big Database Systems, including concepts related to data modeling, query processing, and storage methods Describes basic network algorithms that are used to design efficient spatial network query processing mechanisms Formulates the problem of query processing and storage methods and explores new algorithms that minimize the cost of data processing Includes supplementary material: sn.pub/extras
Inhalt
- Spatial Network Big Databases: An Introduction.- 2. Basic Graph Algorithms.- 3. Capacity Constrained Network Voronoi Diagrams.- 4. Distance-Constrained k Spatial Sub-Networks.- 5. Evacuation Route Planning.- 6. Storage Schemes for Spatio-temporal Network Datasets.- 7. Summary.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319566566
- Auflage 1st ed. 2017
- Lesemotiv Verstehen
- Anzahl Seiten 101
- Herausgeber Springer-Verlag GmbH
- Gewicht 362g
- Untertitel Queries and Storage Methods
- Autor KwangSoo Yang , Shashi Shekhar
- Titel Spatial Network Big Databases
- Veröffentlichung 24.04.2017
- ISBN 978-3-319-56656-6
- Format Fester Einband
- EAN 9783319566566
- Jahr 2017
- Größe H235mm x B155mm
- Sprache Englisch