9781493965731 - SpringerBriefs in Computer Science   Spatio-Temporal Data Streams - Zdravko Galic Kartoniert (TB)

EAN: 9781493965731

Produktdaten aktualisiert am: 11.11.2024
Hersteller: - Hersteller-ArtNr. (MPN): - ASIN: 1493965735

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.

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