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Spatio-Temporal Data Streams
Details
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.
Includes supplementary material: sn.pub/extras
Inhalt
Introduction.- Spatio-Temporal Continuous Queries.- Spatio-Temporal Data Streams and Big Data Paradigm.- Spatio-Temporal Data Stream Clustering.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781493965731
- Genre Information Technology
- Auflage 2016 edition
- Lesemotiv Verstehen
- Anzahl Seiten 107
- Größe H233mm x B159mm x T10mm
- Jahr 2016
- EAN 9781493965731
- Format Kartonierter Einband
- ISBN 978-1-4939-6573-1
- Veröffentlichung 27.08.2016
- Titel Spatio-Temporal Data Streams
- Autor Zdravko Galic
- Untertitel SpringerBriefs in Computer Science
- Gewicht 220g
- Herausgeber Springer-Verlag GmbH
- Sprache Englisch