Spatio-Temporal Databases

Complex Motion Pattern Queries

Nonfiction, Computers, Database Management, General Computing
Cover of the book Spatio-Temporal Databases by Marcos R. Vieira, Vassilis J. Tsotras, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marcos R. Vieira, Vassilis J. Tsotras ISBN: 9783319024080
Publisher: Springer International Publishing Publication: October 15, 2013
Imprint: Springer Language: English
Author: Marcos R. Vieira, Vassilis J. Tsotras
ISBN: 9783319024080
Publisher: Springer International Publishing
Publication: October 15, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book E-Learning, E-Education, and Online Training by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Dynamics of Parallel Robots by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Ethical and Legal Perspectives in Fetal Alcohol Spectrum Disorders (FASD) by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Machine Learning in Medicine - a Complete Overview by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Bridges by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Selected Areas in Cryptography – SAC 2016 by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Bio-Psycho-Social Contributions to Understanding Eating Disorders by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book New Frontiers in Artificial Intelligence by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Tumors of the Jugular Foramen by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Human Resource Management Practices by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Handbook of Child Custody by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Lieb-Robinson Bounds for Multi-Commutators and Applications to Response Theory by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book European Youth Labour Markets by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Digital Transformation and Global Society by Marcos R. Vieira, Vassilis J. Tsotras
Cover of the book Small Machine Tools for Small Workpieces by Marcos R. Vieira, Vassilis J. Tsotras
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy