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Titlebook: Data Analysis and Classification; Methods and Applicat Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak Conference proceedings 2021 The Edi

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書目名稱Data Analysis and Classification
副標(biāo)題Methods and Applicat
編輯Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak
視頻videohttp://file.papertrans.cn/263/262649/262649.mp4
概述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, inclu
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Data Analysis and Classification; Methods and Applicat Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak Conference proceedings 2021 The Edi
描述.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..
出版日期Conference proceedings 2021
關(guān)鍵詞multivariate data analysis; classification; regression; cluster analysis; visualization; computer applica
版次1
doihttps://doi.org/10.1007/978-3-030-75190-6
isbn_softcover978-3-030-75189-0
isbn_ebook978-3-030-75190-6Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1057/978-1-137-54653-1t is when the values of the indicator-nominant are above the upper limit of the recommended range of values (right-handed asymmetrical nominant) or below the lower limit of this range (left-handed asymmetrical nominant). The data on the financial ratios come from Notoria Serwis and concern companies
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Idiopathic Choroidal Neovascularization undertaken investments, and thus significantly influenced the result of the classification. However, as the research results have shown, also aspects related to environmental protection significantly differentiate the investors’ attitudes. People focused on long-term actions, aimed at reducing ener
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Epilog: ?Wir haben dieses Land geliebt?robabilities of finding a job by the unemployed depending on their individual characteristics in the context of long-term unemployment risk. The study is based on LFS data from 2017 to 2018 for Poland.
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