Spatio-Temporal Data Streams

2016. Auflage 2016
ISBN: 978-1-4939-6573-1
Verlag: Humana Press

Buch, Englisch, 107 Seiten, Format (B × H): 159 mm x 233 mm, Gewicht: 220 g

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

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik Mathematik Operations Research Graphentheorie
• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

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