Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (4 chapters)
Keywords
About this book
Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing.
Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Authors and Affiliations
Bibliographic Information
Book Title: Spatio-Temporal Data Streams
Authors: Zdravko Galić
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4939-6575-5
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-1-4939-6573-1Published: 27 August 2016
eBook ISBN: 978-1-4939-6575-5Published: 26 August 2016
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIV, 107
Number of Illustrations: 28 b/w illustrations
Topics: Database Management, Geographical Information Systems/Cartography, Computer Communication Networks, Graph Theory
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Engineering, Finance, Business & Banking, IT & Software, Law, Telecommunications