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Graph data management = fundamental ...
~
Fletcher, George.
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 Lluis Larriba-Pey.
Reminder of title:
fundamental issues and recent developments /
other author:
Fletcher, George.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xii, 186 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Information visualization. -
Online resource:
https://doi.org/10.1007/978-3-319-96193-4
ISBN:
9783319961934
Graph data management = fundamental issues and recent developments /
Graph data management
fundamental issues and recent developments /[electronic resource] :edited by George Fletcher, Jan Hidders, Josep Lluis Larriba-Pey. - Cham :Springer International Publishing :2018. - xii, 186 p. :ill., digital ;24 cm. - 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:
579898
Information visualization.
LC Class. No.: QA76.9.I52
Dewey Class. No.: 001.4226
Graph data management = fundamental issues and recent developments /
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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.
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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.
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Computer Science (Springer-11645)
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