Spatio-Temporal Data Streams (Record no. 57661)
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000 -LEADER | |
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fixed length control field | 03039nam a22005295i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4939-6575-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 160826s2016 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781493965755 |
-- | 978-1-4939-6575-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 005.74 |
100 1# - AUTHOR NAME | |
Author | Galić, Zdravko. |
245 10 - TITLE STATEMENT | |
Title | Spatio-Temporal Data Streams |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 107 p. 28 illus. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4939-6575-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New York, NY : |
-- | Springer New York : |
-- | Imprint: Springer, |
-- | 2016. |
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-- | computer |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer communication systems. |
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-- | Database management. |
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-- | Geographical information systems. |
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-- | Graph theory. |
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-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Database Management. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Geographical Information Systems/Cartography. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Communication Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Graph Theory. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5768 |
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