000			02167nam a22003375i 4500
001			91134
005			20240911163017.0
010			_a978-3-030-21140-0 _dcompra
090			_a91134
100			_a20231023d2019 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aStatistical learning of complex data _bDocumento eletrónico _fedited by Francesca Greselin ... [et al.]
210			_aCham _cSpringer International Publishing _cSpringer _d2019
215			_aXIII, 201 p. _cil.
225	2		_aStudies in Classification Data Analysis and Knowledge Organization
303			_aThis book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13-15, 2017.
606			_aStatistics
606			_aMathematical statistics _xData processing
606			_aData mining
606			_aQuantitative research
680			_aQA276-280
702			_aGreselin _bFrancesca _4340 _974391
702			_aDeldossi _bLaura _4340 _974392
702			_aBagnato _bLuca _4340 _974393
702			_aVichi _bMaurizio _4340 _932407
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-030-21140-0
942			_2lcc _cF _n0