Spatio-Temporal Data Streams
Seiten
2016
|
1st ed. 2016
Springer-Verlag New York Inc.
978-1-4939-6573-1 (ISBN)
Springer-Verlag New York Inc.
978-1-4939-6573-1 (ISBN)
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.
Introduction.- Spatio-Temporal Continuous Queries.- Spatio-Temporal Data Streams and Big Data Paradigm.- Spatio-Temporal Data Stream Clustering.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | SpringerBriefs in Computer Science |
| Zusatzinfo | 28 Illustrations, black and white; XIV, 107 p. 28 illus. |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Mathematik / Informatik ► Mathematik ► Graphentheorie | |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Schlagworte | Big Spatial Data • Cluster Computing • Complex event processing • Data flow processing • Data streams • distributed processing • geographic information systems • Geostreaming • Real-time analytics • Spatio-temporal • Streaming analytics |
| ISBN-10 | 1-4939-6573-5 / 1493965735 |
| ISBN-13 | 978-1-4939-6573-1 / 9781493965731 |
| Zustand | Neuware |
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