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Spatio-temporal graph data analytics

Author: Venkata M V Gunturi; Shashi Shekhar
Publisher: Cham, Switzerland : Springer, 2017.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Gunturi, Venkata M.V.
Spatio-Temporal Graph Data Analytics.
Cham : Springer, ©2017
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Venkata M V Gunturi; Shashi Shekhar
ISBN: 9783319677712 3319677713
OCLC Number: 1015675042
Description: 1 online resource
Contents: 1 Introduction --
2 Fundamental Concepts for Spatio-Temporal Graphs --
3 Representational Models for Spatio-Temporal Graphs --
4 Fastest Path for a Single Departure-Time --
5 Advanced Concepts: Critical Time Point Based Approaches --
6 Advanced Concepts: Bi-directional Search for Temporal Digraphs --
7 Knowledge Discovery: Temporal Disaggregation in Social Interaction Data --
8 Trend Topics: Engine Data Analytics.
Responsibility: Venkata M.V. Gunturi, Shashi Shekhar.

Abstract:

This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms.  Read more...

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V. Gunturi<\/span>\n\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4674878299#Person\/shekhar_shashi_1963<\/a>> ; # Shashi Shekhar<\/span>\n\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> schema:EBook<\/a> ;\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2017<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"1 Introduction -- 2 Fundamental Concepts for Spatio-Temporal Graphs -- 3 Representational Models for Spatio-Temporal Graphs -- 4 Fastest Path for a Single Departure-Time -- 5 Advanced Concepts: Critical Time Point Based Approaches -- 6 Advanced Concepts: Bi-directional Search for Temporal Digraphs -- 7 Knowledge Discovery: Temporal Disaggregation in Social Interaction Data -- 8 Trend Topics: Engine Data Analytics.<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. 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