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About this book
This brief presents several new query processing techniques, called complex motion pattern queries, specifically designed for very large spatio-temporal databases of moving objects. The brief begins with the definition of flexible pattern queries, which are powerful because of the integration of variables and motion patterns. This is followed by a summary of the expressive power of patterns and flexibility of pattern queries. The brief then present the Spatio-Temporal Pattern System (STPS) and density-based pattern queries. STPS databases contain millions of records with information about mobile phone calls and are designed around cellular towers and places of interest. Density-based pattern queries capture the aggregate behavior of trajectories as groups. Several evaluation algorithms are presented for finding groups of trajectories that move together in space and time, i.e. within a predefined distance to each other. Finally, the brief describes a generic framework, called DivDB, for diversifying query results. Two new evaluation methods, as well as several existing ones, are described and tested in the proposed DivDB framework. The efficiency and effectiveness of all the proposed complex motion pattern queries are demonstrated through an extensive experimental evaluation using real and synthetic spatio-temporal databases. This clear evaluation of new query processing techniques makes Spatio-Temporal Database a valuable resource for professionals and researchers studying databases, data mining, and pattern recognition.
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Keywords
Table of contents (6 chapters)
Reviews
From the reviews:
“The theme of this book is spatiotemporal databases of moving objects. … the book itself is worth reading. It is intended for postgraduate students or senior researchers working on topics related to storing and processing mobile object trajectories. Overall, the topic of this book is significant because it touches on a current hot topic.” (Dimitrios Katsaros, Computer Reviews, March, 2014)
Authors and Affiliations
Bibliographic Information
Book Title: Spatio-Temporal Databases
Book Subtitle: Complex Motion Pattern Queries
Authors: Marcos R. Vieira, Vassilis J. Tsotras
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-02408-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-3-319-02407-3Published: 29 October 2013
eBook ISBN: 978-3-319-02408-0Published: 15 October 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIII, 114
Number of Illustrations: 46 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Pattern Recognition, Regional/Spatial Science