Spatio-Temporal Data Streams [electronic resource] /
by Zdravko Galić.
- XIV, 107 p. 28 illus. online resource.
- SpringerBriefs in Computer Science, 2191-5768 .
- SpringerBriefs in Computer Science, .
Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.
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.
9781493965755
10.1007/978-1-4939-6575-5 doi
Computer science. Computer communication systems. Database management. Geographical information systems. Graph theory. Computer Science. Database Management. Geographical Information Systems/Cartography. Computer Communication Networks. Graph Theory.