Spatio-Temporal Data Streams

1. Front Matter

   Pages i-xiv

   PDF

2. Introduction

   • Zdravko Galić

   Pages 1-15

3. Spatio-Temporal Continuous Queries

   • Zdravko Galić

   Pages 17-45

4. Spatio-Temporal Data Streams and Big Data Paradigm

   • Zdravko Galić

   Pages 47-69

5. Spatio-Temporal Data Stream Clustering

   • Zdravko Galić

   Pages 71-103

6. Back Matter

   Pages 105-107

   PDF

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.

• Spatio-temporal
• Data streams
• Geostreaming
• Big spatial data
• Distributed processing
• Complex event processing
• Streaming analytics
• Cluster computing
• Real-time analytics
• Data flow processing
• Geographic information systems

• Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

  Zdravko Galić

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