Spatio-Temporal Data Streams / by Zdravko Galić

By:

Galić, Zdravko [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: New York, NY ; s.l. : Springer New York, 2016Description: Online-Ressource (XIV, 107 p. 28 illus, online resource)ISBN:

9781493965755

Subject(s):

Additional physical formats: 9781493965731 | Erscheint auch als: Spatio-temporal data streams. Druck-Ausgabe New York, NY : Springer, 2016. XIV, 107 SeitenRVK: RVK: RB 10104LOC classification:

QA76.9.D3

DOI: DOI: 10.1007/978-1-4939-6575-5Online resources:

Summary: Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.Summary: 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.PPN: PPN: 1658611233Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXCS | ZDB-2-SCS

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