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Spatio-Temporal Data Streams

Zdravko Galić
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      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.
      Format: Paperback / softback CONTRIBUTORS: Zdravko Galić EAN: 9781493965731 COUNTRY: United States PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2016-08-27 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Networking / Hardware, MATHEMATICS / Graphic Methods, SCIENCE / Earth Sciences / Geography WIDTH: 155 cm SPINE:

      Book Themes:

      Combinatorics and graph theory, Geographical information systems, geodata and remote sensing, Network hardware, Databases

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      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.
      Format: Paperback / softback CONTRIBUTORS: Zdravko Galić EAN: 9781493965731 COUNTRY: United States PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2016-08-27 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Networking / Hardware, MATHEMATICS / Graphic Methods, SCIENCE / Earth Sciences / Geography WIDTH: 155 cm SPINE:

      Book Themes:

      Combinatorics and graph theory, Geographical information systems, geodata and remote sensing, Network hardware, Databases

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