000			01835cam a2200349 i 4500
999			_c542 _d542
001			20769073
005			20251027105650.0
008			181207s2019 flua b 001 0 eng
010			_a 2018052974
020			_a9781498773218 _q(hardback : _qalk. paper)
040			_aDLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aQA280 _b.M3345 2019
082	0	0	_aGrad 519.55 _bM214 2019
100	1		_aMaharaj, Elizabeth Ann, _eauthor.
245	1	0	_aTime series clustering and classification / _cElizabeth Ann Maharaj, Department of Econometrics and Business Statistics, Monash University, Australia, Pierpaolo D'Urso, Department of Social and Economic Sciences, Sapienza--University of Rome, Italy, Jorge Caiado, Department of Mathematics, ISEG, Lisbon School of Economics & Management, University of Lisbon, Portugal.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2019]
300			_axv, 228 pages : _billustrations ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC computer science & data analysis series
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Time series features and models -- Traditional cluster analysis -- Fuzzy clustering -- Observation-based clustering -- Feature-based clustering -- Model-based clustering -- Other time series clustering approaches -- Feature-based approaches -- Other time series classification approaches -- Software and data sets.
650		0	_aTime-series analysis.
650		0	_aCluster analysis.
700	1		_aD'Urso, Pierpaolo, _eauthor.
700	1		_aCaiado, Jorge, _eauthor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cCIR