Data analysis and classification

Data analysis and classification: methods and applications

by Jajuga, Krzysztof Najman, Krzysztof Walesiak, Marek

Type Book
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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…

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Title Statements

  • Full title :Data analysis and classification : methods and applications / Krzysztof Jajuga, Krzysztof Najman, Marek Walesiak, editors.

Summary

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.

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Edition Statements

  • Publication Date:©2021

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham
  • Language:eng
  • Publication Date:©2021

Notes

Conference proceedings.

The Physical Object

  • Description:1 online resource (xiii, 352 pages) : : illustrations (some color)

Edition Identifiers

  • ISBN:9783030751906, 3030751902
  • DOI:10.1007/978-3-030-75190-6
  • oclc:on1258362862
  • LC Classification:HB137
  • Dewey Decimal:330.01/5195

Table of Contents

Part 1: Methodology -- Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek) -- Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures - Comparison of Results (Dorota Rozmus) -- Chapter 3 - Identification of the Words Most Frequently Used by Different Generations of Twitter Users (Agata Majkowska, Kamila Migdał-Najman, Krzysztof Najman and Katarzyna Raca) -- Chapter 4 - Classification Algorithms Applications for Information Security on the Internet: a Review (Michał Bryś) -- Chapter 5 - Outlier Detection with the Use of Isolation Forests (Krzysztof Najman and Krystian Zieliński) -- Part 2: Application in Finance -- Chapter 6 - Propositions of Transformations of Asymmetrical Nominants into Stimulants on the Example of Chosen Financial Ratios ( Barbara Batóg and Katarzyna Wawrzyniak) -- Chapter 7 - Gini Regression in The Capital Investment Risk Assessment - Sensitivity Risk Measures in Portfolio Analysis (Graçzyna Trzpiot) -- Part 3: Application in Economics -- Chapter 8 - Enterprise Dark Data (Katarzyna Raca) -- Chapter 9 - The Significance of Medical Science Issues in …

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