Extended! eBooks from the 'Springer Archives' only $/€/£ 8.99 each–save now!

Studies in Classification, Data Analysis, and Knowledge Organization

Data Analysis and Classification

Methods and Applications

Editors: Jajuga, Krzysztof, Najman, Krzysztof, Walesiak, Marek (Eds.)

Free Preview
  • 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
おすすめポイントをすべて見る

書籍の購入

イーブック ¥16,015
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-75190-6
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ソフトカバー ¥20,019
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-75189-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
この書籍について

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.

著者について

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.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets

    Pages 3-9

    Dudek, Andrzej

  • Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures—Comparison of Results

    Pages 11-26

    Rozmus, Dorota

  • Identification of the Words Most Frequently Used by Different Generations of Twitter Users

    Pages 27-47

    Majkowska, Agata (et al.)

  • Classification Algorithms Applications for Information Security on the Internet: A Review

    Pages 49-63

    Bryś, Michał

  • Outlier Detection with the Use of Isolation Forests

    Pages 65-79

    Najman, Krzysztof (et al.)

書籍の購入

イーブック ¥16,015
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-75190-6
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ソフトカバー ¥20,019
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-75189-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

この書籍のサービス情報

あなたへのおすすめ

Loading...

書誌情報

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
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG
イーブック ISBN
978-3-030-75190-6
DOI
10.1007/978-3-030-75190-6
ソフトカバー ISBN
978-3-030-75189-0
Series ISSN
1431-8814
Edition Number
1
Number of Pages
XIII, 352
Number of Illustrations
85 b/w illustrations, 37 illustrations in colour
Topics