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Classification and Data Analysis : Theory and Applications by Krzysztof Jajuga; Jacek Batóg; Marek Walesiak; Springer Nature is a nonfiction available to read on EtoBox.

What is Classification and Data Analysis : Theory and Applications about?

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.

Who reads Classification and Data Analysis : Theory and Applications?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Krzysztof Jajuga; Jacek Batóg; Marek Walesiak; Springer Nature
Publisher
Springer International Publishing : Imprint: Springer
Published
2020
Language
EN
ISBN
9783030523473
Category
nonfiction
Subjects
Science, Mathematics, Computer Science

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