SpringerBriefs in Computer Science

Spatio-Temporal Data Streams

Authors: Galic, Zdravko

Free Preview

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-1-4939-6575-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-1-4939-6573-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering.  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.

Table of contents (4 chapters)

Table of contents (4 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-1-4939-6575-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-1-4939-6573-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Spatio-Temporal Data Streams
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2016
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4939-6575-5
DOI
10.1007/978-1-4939-6575-5
Softcover ISBN
978-1-4939-6573-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XIV, 107
Number of Illustrations
28 b/w illustrations
Topics