Spatio-Temporal Data Streams (CROSBI ID 14043)
Autorska knjiga | monografija (znanstvena)
Podaci o odgovornosti
Galić, Zdravko
Zdonik, S., Shekhar, S., Katz, J., Wu, X., Jain, L.C., Padua, D., Shen, X.S., Furht, B., Subrahmanian, V.S., Hebert, M., Ikeuchi, K., Siciliano, B., Jajodia, S., Lee, N.
engleski
Spatio-Temporal Data Streams
This book 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.
Spatio-Temporal; Data Streams; GeoStreaming; Spatio-Temporal Continuous Queries; Real-Time Analytics; Big Data Analytics; Distributed Stream Processing; Trajectory Stream Clustering
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Podaci o izdanju
New York (NY): Springer
2016.
978-1-4939-6573-1
107
SpringerBriefs in Computer Science;
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