Galic / Galic Spatio-Temporal Data Streams

1. Auflage 2016
ISBN: 978-1-4939-6575-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 116 Seiten, eBook

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Galic, Zdravko

Inhaltsverzeichnis

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