Overview
- Presents the latest results in data analysis and classification
- Includes applications to COVID-19 data and problems in economics, finance and other social sciences
- Accessible to a wide audience, including students, researchers and data scientists
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
Included in the following conference series:
Conference proceedings info: SKAD 2020.
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Table of contents (19 papers)
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Front Matter
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Methodology
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Front Matter
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Application in Economics
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Front Matter
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Application in Social Issues
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Front Matter
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Other volumes
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Data Analysis and Classification
Keywords
About this book
This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Editors and Affiliations
About the editors
Krzysztof Jajuga is a Professor of Finance and Statistics and Chair of the Department of Financial Investments and Risk Management at the Wroclaw University of Economics and Business, Poland. He has been a Visiting Professor at several universities in the USA, Europe and China and holds an honorary doctorate from Cracow University of Economics and an honorary professorship from Warsaw University of Technology. His scientific interests include financial econometrics and financial markets, risk analysis and management, household finance and multivariate statistics, and he is an author of numerous international and regional publications, including 18 books.
Krzysztof Najman is an Associate Professor at the University of Gdańsk, Poland and Deputy Dean for Student Affairs and Education of the Faculty of Management. He is a member of the Main Council of the Polish Statistical Association and its Section of Classification and Data Analysis (SKAD). His scientific interests include cluster analysis and classification methods, artificial intelligence models, self-learning neural networks, multivariate statistical analysis, and data mining. He is an author of numerous international and regional publications, including 1 book.
Marek Walesiak is a Professor of Economics, and Chair of the Department of Econometrics and Computer Science at the Wroclaw University of Economics and Business, Poland. He is a member of the Methodological Commission and the Scientific Statistical Council in Statistics Poland (GUS) and an active member of many scientific professional bodies, including the Section of Classification and Data Analysis (SKAD). His scientific interests are in classification and data analysis, composite indicators, multivariate statistical analysis, marketing research, and computational techniques in R, and he has authored numerous publications, including 11 books.
Bibliographic Information
Book Title: Data Analysis and Classification
Book Subtitle: Methods and Applications
Editors: Krzysztof Jajuga, Krzysztof Najman, Marek Walesiak
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-030-75190-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-75189-0Published: 28 June 2021
eBook ISBN: 978-3-030-75190-6Published: 28 June 2021
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XIII, 352
Number of Illustrations: 85 b/w illustrations, 37 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Data Mining and Knowledge Discovery, Statistics for Social Sciences, Humanities, Law, Biostatistics, Statistics, general, Econometrics