Spatial Network Big Databases: Queries and Storage Methods

Author:   KwangSoo Yang ,  Shashi Shekhar
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
ISBN:  

9783319859644


Pages:   101
Publication Date:   09 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Spatial Network Big Databases: Queries and Storage Methods


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Overview

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.

Full Product Details

Author:   KwangSoo Yang ,  Shashi Shekhar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Weight:   1.883kg
ISBN:  

9783319859644


ISBN 10:   3319859641
Pages:   101
Publication Date:   09 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. 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.

Reviews

“Spatial network big data (SNBD) can be widely found in every corner of modern society. Examples include temporally detailed road maps that provide car speeds every minute for every road segment and GPS trace data from our cell phones. … The topic of this book is attractive and beneficial to readers and researchers who are interested in spatial networks, graph data, big data, and databases. It includes a clear structure when introducing the basic information, existing methods, and practical applications.” (Feng Yu, Computing Reviews, January, 4, 2018) ​


Spatial network big data (SNBD) can be widely found in every corner of modern society. Examples include temporally detailed road maps that provide car speeds every minute for every road segment and GPS trace data from our cell phones. ... The topic of this book is attractive and beneficial to readers and researchers who are interested in spatial networks, graph data, big data, and databases. It includes a clear structure when introducing the basic information, existing methods, and practical applications. (Feng Yu, Computing Reviews, January, 4, 2018)


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