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Library,Documentation and Information Science Division

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Data Science [electronic resource] : Innovative Developments in Data Analysis and Clustering / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.

Contributor(s): Material type: TextTextSeries: Studies in Classification, Data Analysis, and Knowledge OrganizationPublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: XVI, 342 p. 50 illus., 39 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319557236
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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