Classification and Data Analysis : Theory and Applications /

This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18-20, 2019. Providing a bal...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Jajuga, Krzysztof (Editor), Batóg, Jacek (Editor), Walesiak, Marek (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18-20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Physical Description:1 online resource (XIII, 335 pages 110 illustrations, 45 illustrations in color.)
ISBN:9783030523480
ISSN:1431-8814
DOI:10.1007/978-3-030-52348-0