國立虎尾科技大學 |

Graph Data Management = Fundamental Issues and Recent Developments /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Graph Data Management/ edited by George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey.
Reminder of title:	Fundamental Issues and Recent Developments /
other author:	Fletcher, George.
Description:	XII, 186 p. 64 illus., 27 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Database management. -
Online resource:	https://doi.org/10.1007/978-3-319-96193-4
ISBN:	9783319961934

Graph Data Management = Fundamental Issues and Recent Developments /
Graph Data ManagementFundamental Issues and Recent Developments /[electronic resource] :edited by George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey. - 1st ed. 2018. - XII, 186 p. 64 illus., 27 illus. in color.online resource. - Data-Centric Systems and Applications,2197-9723. - Data-Centric Systems and Applications,.

Introduction -- Basics of Graph Data Management -- Large Scale Graph Processing Systems -- Motif Discovery in Large Graphs -- Applications of Flexible Querying to Graphs -- Graph Visualization -- Graph Management Benchmarking -- Parallel Processing of Graphs -- Graph Mining -- Connectivity Queries on Complex Networks.

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains. The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions. The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs.

ISBN: 9783319961934

Standard No.: 10.1007/978-3-319-96193-4doiSubjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Graph Data Management = Fundamental Issues and Recent Developments /
LDR:02869nam a22004215i 4500 001 991054
003 DE-He213
005 20200704040215.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319961934 $9 978-3-319-96193-4
024 7 $a 10.1007/978-3-319-96193-4 $2 doi
035 $a 978-3-319-96193-4
050 4 $a QA76.9.D3
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a UMT $2 thema
082 0 4 $a 005.74 $2 23
245 1 0 $a Graph Data Management $h [electronic resource] : $b Fundamental Issues and Recent Developments / $c edited by George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XII, 186 p. 64 illus., 27 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Data-Centric Systems and Applications, $x 2197-9723
505 0 $a Introduction -- Basics of Graph Data Management -- Large Scale Graph Processing Systems -- Motif Discovery in Large Graphs -- Applications of Flexible Querying to Graphs -- Graph Visualization -- Graph Management Benchmarking -- Parallel Processing of Graphs -- Graph Mining -- Connectivity Queries on Complex Networks.
520 $a This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains. The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions. The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs.
650 0 $a Database management. $3 557799
650 0 $a Computer science—Mathematics. $3 1253519
650 0 $a Computer system failures. $3 782237
650 0 $a Computers. $3 565115
650 1 4 $a Database Management. $3 669820
650 2 4 $a Math Applications in Computer Science. $3 669887
650 2 4 $a System Performance and Evaluation. $3 669346
650 2 4 $a Models and Principles. $3 669634
700 1 $a Fletcher, George. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1210228
700 1 $a Hidders, Jan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1210229
700 1 $a Larriba-Pey, Josep Lluís. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1282743
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319961927
776 0 8 $i Printed edition: $z 9783319961941
776 0 8 $i Printed edition: $z 9783030071516
830 0 $a Data-Centric Systems and Applications, $x 2197-9723 $3 1253989
856 4 0 $u https://doi.org/10.1007/978-3-319-96193-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)