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Classification and Data Analysis

Theory and Applications

Marek Walesiak (Hrsg.), Jacek Batóg (Hrsg.), Krzysztof Jajuga (Hrsg.)

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ca. 171,19 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

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.

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Schlagwörter

multivariate data analysis, composite measures, computer applications of statistical methods, visualization and scaling methods, applications of statistics in economics and finance, cluster analysis, applications of statistics in social problems, data mining, classification and regression trees, data analysis tools in micro and macroeconomic problems, symbolic data analysis