000			03396cam a2200457 i 4500
001			on1368312475
003			OCoLC
005			20250612155527.0
006			m o d
007			cr cnu---unuuu
008			230212t20232023ne a ob 001 0 eng d
040			_aYDX _beng _erda _epn _cYDX _dOPELS _dYDX _dUKAHL _dUKMGB _dOCLCF _dINU _dTFW _dN$T _dOCLCO _dVRC
015			_aGBC2K2150 _2bnb
016	7		_a020802979 _2Uk
019			_a1372576811
020			_a0443184291 _qelectronic book
020			_a9780443184291 _q(electronic bk.)
020			_z9780443184284
020			_z0443184283
035			_a(OCoLC)1368312475 _z(OCoLC)1372576811
050		4	_aQA76.9.B45 _bH36 2023
082	0	4	_a005.7 _223/eng/20230314
245	0	0	_aHandbook of mobility data mining. _nVolume One, _pData preprocessing and visualization / _cedited by Haoran Zhang.
246	3	0	_aData preprocessing and visualization
264		1	_aAmsterdam, Netherlands ; _aCambridge, MA : _bElsevier, _c[2023]
264		4	_c�2023
300			_a1 online resource : _billustrations (some color)
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aChapter One - An overview of urban data variety and respective value to urban computing -- Chapter Two - Quality assessment for big mobility data -- Chapter Three - Noise filter method for mobile trajectory data -- Chapter Four - Modifiable areal unit problem in grided population density map -- Chapter Five - Few-shot count estimation of mobility dynamics by scaling GPS -- Chapter Six - Trip segmentation and mode detection for human mobility data -- Chapter Seven - Benchmark of travel mode detection with smartphone GPS trajectories -- Chapter Nine - Map-matching for low accuracy trajectory data -- Chapter Ten - Social information labeling for individual mobile phone user -- Chapter eleven - Web-based spatio-temporal data visualization technology for urban digital twin.
504			_aIncludes bibliographical references and index.
520			_a"Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations."--Provided by Publisher.
588	0		_aOnline resource; title from PDF title page (ScienceDirect platform, viewed June 1, 2023).
650		0	_aBig data.
650		0	_aData mining.
700	1		_aZhang, Haoran _c(College teacher), _eeditor.
776	0	8	_iPrint version: _tHandbook of mobility data mining. Volume 1, Data preprocessing and visualization. _dAmsterdam : Elsevier, 2023 _z9780443184284 _w(OCoLC)1350637741
856	4	0	_3ScienceDirect _uhttps://www.sciencedirect.com/science/book/9780443184284
999			_c216588 _d216588