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Spatio-Temporal Databases - Complex Motion Pattern Queries (Paperback, 2013 ed.) Loot Price: R1,837
Discovery Miles 18 370
Spatio-Temporal Databases - Complex Motion Pattern Queries (Paperback, 2013 ed.): Marcos R. Vieira, Vassilis J. Tsotras

Spatio-Temporal Databases - Complex Motion Pattern Queries (Paperback, 2013 ed.)

Marcos R. Vieira, Vassilis J. Tsotras

Series: SpringerBriefs in Computer Science

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Loot Price R1,837 Discovery Miles 18 370 | Repayment Terms: R172 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Computer Science
Release date: October 2013
First published: 2013
Authors: Marcos R. Vieira • Vassilis J. Tsotras
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 114
Edition: 2013 ed.
ISBN-13: 978-3-319-02407-3
Categories: Books > Business & Economics > Economics > Political economy
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-319-02407-8
Barcode: 9783319024073

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