| Spatio-Temporal Data Streams 2016 Edition Contributor(s): Galic, Zdravko (Author) |
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ISBN: 1493965735 ISBN-13: 9781493965731 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: August 2016 |
| Additional Information |
| BISAC Categories: - Computers | Databases - General - Science | Earth Sciences - Geography - Computers | Networking - Hardware |
| Dewey: 004.6 |
| LCCN: 2016947747 |
| Series: Springerbriefs in Computer Science |
| Physical Information: 0.26" H x 6.14" W x 9.21" (0.41 lbs) 107 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |