Spatio-Temporal Data Streams
Produktnummer:
181977e2f578bd4cc2a8c8b0eb86b82090
Autor: | Galic, Zdravko |
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Themengebiete: | Big spatial data Cluster computing Complex event processing Data flow processing Data streams Distributed processing Geostreaming Real-time analytics Spatio-temporal Streaming analytics |
Veröffentlichungsdatum: | 27.08.2016 |
EAN: | 9781493965731 |
Sprache: | Englisch |
Seitenzahl: | 107 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer US |
Produktinformationen "Spatio-Temporal Data Streams"
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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