rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data Analysis and Classification
    sub title: Methods and Applications
  name:
    name part: Jajuga, Krzysztof.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Najman, Krzysztof.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Walesiak, Marek.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIII, 352 pages 122 illustrations, 37 illustrations in color.)
  abstract: 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.
  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 (Grażyna Trzpiot) -- Part 3: Application in Economics -- Chapter 8 - Enterprise Dark Data (Katarzyna Raca) -- Chapter 9 - The Significance of Medical Science Issues in Research Papers Published in the Field of Economics (Urszula Cieraszewska, Monika Hamerska, Paweł Lula and Marcela Zembura) -- Chapter 10 - Application of Duration Analysis Methods in the Study of the Exit of a Real Estate Sale Offer from the Offer Database System (Ewa Putek-Szeląg, Anna Gdakowicz) -- Chapter 11 - Is Society Ready for Long-Term Investments? - Profiles of Electricity Users in Silesia (Sylwia Słupik and Joanna Trzęsiok) -- Chapter 12 - The Use of the Spatial Taxonomic Measure of Development to Assess the Tourist Attractiveness of Districts of the Lesser Poland Province(Jacek Wolak) -- Part 4: Application in Social Issues -- Chapter 13 - Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-registrat…
  note: edited by Krzysztof Jajuga, Krzysztof Najman, Marek Walesiak.
  subject:
    topic: Statistics
  subject:
    topic: Data mining
  subject:
    topic: Biostatistics
  subject:
    topic: Econometrics
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Statistics for Social Sciences, Humanities, Law
  subject:
    topic: Biostatistics
  subject:
    topic: Statistics, general
  subject:
    topic: Econometrics
  classification: QA276-280
  classification: 330.015195
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Studies in Classification, Data Analysis, and Knowledge Organization
  identifier: 9783030751906
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210627
    record change date: 20230330185105.2
    record identifier: in00004377614