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007			cr nn 008mamaa
008			110930s2011 xxu| s |||| 0|eng d
020			_a9781461416296 _9978-1-4614-1629-6
040			_cMX-MeUAM
050		4	_aQA76.9.D3
082	0	4	_a005.74 _223
100	1		_aZheng, Yu. _eeditor.
245	1	0	_aComputing with Spatial Trajectories _h[recurso electrónico] / _cedited by Yu Zheng, Xiaofang Zhou.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aXXV, 308 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPart 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			_aSpatial 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	_aComputer science.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval systems.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650		0	_aGeographical information systems.
650	1	4	_aComputer Science.
650	2	4	_aDatabase Management.
650	2	4	_aGeographical Information Systems/Cartography.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aPattern Recognition.
650	2	4	_aInformation Storage and Retrieval.
700	1		_aZhou, Xiaofang. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461416289
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4614-1629-6
596			_a19
942			_cLIBRO_ELEC
999			_c200350 _d200350