Spatio-Temporal Graph Data Analytics

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Details

Describes a unique overarching model which can support a wide variety of spatio-temporal graph data

Covers A* and bi-directional search for determining fastest paths over spatio-temporal graphs

Introduces spatio-temporal graph datasets, such as engine measurement data

Applications from the research covered in this book (navigational algorithms), can be used for Uber service and Google's autonomous cars


Describes a unique overarching model which can support a wide variety of spatio-temporal graph data Covers A* and bi-directional search for determining fastest paths over spatio-temporal graphs Introduces spatio-temporal graph datasets, such as engine measurement data Applications from the research covered in this book (navigational algorithms), can be used for Uber service and Google's autonomous cars

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319677705
    • Genre Information Technology
    • Auflage 1st ed. 2017
    • Lesemotiv Verstehen
    • Anzahl Seiten 100
    • Größe H235mm x B155mm
    • Jahr 2018
    • EAN 9783319677705
    • Format Fester Einband
    • ISBN 978-3-319-67770-5
    • Veröffentlichung 09.01.2018
    • Titel Spatio-Temporal Graph Data Analytics
    • Autor Venkata M. V. Gunturi , Shashi Shekhar
    • Gewicht 363g
    • Herausgeber Springer-Verlag GmbH
    • Sprache Englisch

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