000			02937nam a22004095i 4500
001			301423
003			MX-SnUAN
005			20160429155709.0
007			cr nn 008mamaa
008			150903s2011 gw | o |||| 0|eng d
020			_a9783642133121 _99783642133121
024	7		_a10.1007/9783642133121 _2doi
035			_avtls000355105
039		9	_a201509030950 _bVLOAD _c201405060345 _dVLOAD _y201402191035 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aFichet, Bernard. _eeditor. _9339268
245	1	0	_aClassification and Multivariate Analysis for Complex Data Structures / _cedited by Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_axIx, 473 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aStudies in Classification, Data Analysis, and Knowledge Organization, _x1431-8814
500			_aSpringer eBooks
505	0		_aKey Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science.
520			_aThe growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aPiccolo, Domenico. _eeditor. _9339269
700	1		_aVerde, Rosanna. _eeditor. _9339270
700	1		_aVichi, Maurizio. _eeditor. _9325896
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642133114
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-13312-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c301423 _d301423