Spatio-Temporal Data Streams

• Κύριος συγγραφέας: Galić, Zdravko (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: 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.

 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. 

 Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.