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Grade Models and Methods for Data Analysis

With Applications for the Analysis of Data Populations

  • Teresa Kowalczyk
  • Elżbieta Pleszczyńska
  • Frederick Ruland

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 151)

Table of contents

  1. Front Matter
    Pages N1-x
  2. Frederick Ruland
    Pages 1-11
  3. Frederick Ruland
    Pages 13-50
  4. Teresa Kowalczyk, Wieslaw Szczesny
    Pages 51-89
  5. Teresa Kowalczyk, Elżbieta Pleszczyńska, Wiesław Szczesny
    Pages 91-138
  6. Alicja Ciok
    Pages 167-184
  7. Teresa Kowalczyk, Wiesław Szczesny
    Pages 185-215
  8. Teresa Kowalczyk, Wiesław Szczesny, Włodzimierz Wysocki
    Pages 217-265
  9. Olaf Matyja, Wiesław Szczesny
    Pages 267-295
  10. Alicja Ciok
    Pages 297-324
  11. Alicja Ciok
    Pages 325-338
  12. Wiesław Szczesny
    Pages 385-424
  13. Wiesław Szczesny, Maria Grzegorek
    Pages 425-453
  14. Olaf Matyja
    Pages 455-457
  15. Back Matter
    Pages 459-477

About this book

Introduction

This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.

Keywords

Analysis of Populations of Data Categorization of Data Cluster Analysis Concentration Concentration Curve Concentration Surface Correspondence Analysis Detection of Subpopulations Discretization Distribution Free Grade Transformation Modeling;

Editors and affiliations

  • Teresa Kowalczyk
    • 1
  • Elżbieta Pleszczyńska
    • 1
  • Frederick Ruland
    • 2
  1. 1.Polish Academy of SciencesInstitute of Computer ScienceWarszawaPoland
  2. 2.The Ohio State UniversityMaltaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-39928-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-53561-1
  • Online ISBN 978-3-540-39928-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site