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Spatio-Temporal Data Streams

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Spatio-Temporal Data Streams

Zdravko Galic

Springer
Collection: SpringerBriefs in Computer Science
Publication date : 2016-08-26

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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.

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About the book

Author

Zdravko Galic

Imprint

Springer

Collection

SpringerBriefs in Computer Science

Publication date

2016-08-26

Pages

107 pages

Print ISBN

9781493965731

Language

English

Ebook informations

EAN PDF

9781493965755

Price

£44.99

Copy count 1

Print count 10

File size 3123 Ko

Informations accessibility

EAN EPUB

9781493965755

Price

£44.99

Copy count 1

Print count 10

File size 2038 Ko

Informations accessibility

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About author(s)

Zdravko Galic

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