Spatio-Temporal Data Streams (SpringerBriefs in Computer Science) - Softcover

Galić, Zdravko

Softcover

ISBN 10: 1493965735 ISBN 13: 9781493965731

Publisher: Springer, 2016

Synopsis

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.

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 1493965735
• ISBN 13: 9781493965731
• Binding: Paperback
• Edition number: 1
• Number of pages: 121