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Spatial network big databases = quer...

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Spatial network big databases = queries and storage methods /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Spatial network big databases/ by KwangSoo Yang, Shashi Shekhar.
其他題名:	queries and storage methods /
作者:	Yang, KwangSoo.
其他作者:	Shekhar, Shashi.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xi, 101 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Geospatial data. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-56657-3
ISBN:	9783319566573

Spatial network big databases = queries and storage methods /
Yang, KwangSoo.

Spatial network big databasesqueries and storage methods /[electronic resource] :by KwangSoo Yang, Shashi Shekhar. - Cham :Springer International Publishing :2017. - xi, 101 p. :ill., digital ;24 cm.

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.

ISBN: 9783319566573

Standard No.: 10.1007/978-3-319-56657-3doiSubjects--Topical Terms:

827605
Geospatial data.

LC Class. No.: G70.217.G46

Dewey Class. No.: 910.285

Spatial network big databases = queries and storage methods /
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520 $a 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.
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