Zdravko Galic

Spatio-Temporal Data Streams

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• SpringerBriefs in Computer Science
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4939-6573-1
• 1st ed. 2016
• Seitenzahl: 107
• Erscheinungstermin: 27. August 2016
• Englisch
• Abmessung: 233mm x 159mm x 10mm
• Gewicht: 454g
• ISBN-13: 9781493965731
• ISBN-10: 1493965735
• Artikelnr.: 45304081

Inhaltsangabe

Introduction.- Spatio-Temporal Continuous Queries.- Spatio-Temporal Data Streams and Big Data Paradigm.- Spatio-Temporal Data Stream Clustering.

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Introduction.- Spatio-Temporal Continuous Queries.- Spatio-Temporal Data Streams and Big Data Paradigm.- Spatio-Temporal Data Stream Clustering.