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＜E-Book＞
Data Science : Innovative Developments in Data Analysis and Clustering / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi
(Studies in Classification, Data Analysis, and Knowledge Organization. ISSN:21983321)

Edition	1st ed. 2017.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2017
Language	English
Size	XVI, 342 p. 50 illus., 39 illus. in color : online resource
Authors	Palumbo, Francesco editor Montanari, Angela editor Vichi, Maurizio editor SpringerLink (Online service)
Subjects	LCSH:Statistics  LCSH:Data mining LCSH:Mathematical statistics—Data processing LCSH:Big data FREE:Statistical Theory and Methods FREE:Data Mining and Knowledge Discovery FREE:Statistics and Computing FREE:Big Data FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Statistics in Business, Management, Economics, Finance, Insurance
Notes	Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015 HTTP:URL=https://doi.org/10.1007/978-3-319-55723-6

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