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Spatio-Temporal Graph Data Analytics
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