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Computing with Spatial Trajectories

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Zheng, Yu (Editor ), Zhou, Xiaofang (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Computing with Spatial Trajectories  |h [electronic resource] /  |c edited by Yu Zheng, Xiaofang Zhou. 
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300 |a XXV, 308 p.  |b online resource. 
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505 0 |a Part I Foundations -- Trajectory Preprocessing -- Trajectory Indexing and Retrieval -- Part II Advanced Topics -- Uncertainty in Spatial Trajectories -- Privacy of Spatial Trajectories -- Trajectory Pattern Mining -- Activity Recognition from Trajectory Data -- Trajectory Analysis for Driving -- Location-Based Social Networks: Users -- Location-Based Social Networks: Locations. 
520 |a Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals. Computing with Spatial Trajectories introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work. Computing with Spatial Trajectories is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful. 
650 0 |a Database management. 
650 0 |a Geographic information systems. 
650 0 |a Data mining. 
650 0 |a Image processing-Digital techniques. 
650 0 |a Computer vision. 
650 0 |a Pattern recognition systems. 
650 0 |a Information storage and retrieval systems. 
650 1 4 |a Database Management. 
650 2 4 |a Geographical Information System. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
650 2 4 |a Automated Pattern Recognition. 
650 2 4 |a Information Storage and Retrieval. 
700 1 |a Zheng, Yu.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Zhou, Xiaofang.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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950 |a Computer Science (R0) (SpringerNature-43710)