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- 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)
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Front Matter
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Back Matter
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
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Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Zdravko Galić
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