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Data Analysis

Scientific Modeling and Practical Application

  • Wolfgang Gaul
  • Otto Opitz
  • Martin Schader

Table of contents

  1. Front Matter
    Pages I-XII
  2. Classification

    1. Front Matter
      Pages 1-1
    2. Vladimir Batagelj, Anuška Ferligoj
      Pages 3-15
    3. Rainer Kiel, Martin Schader
      Pages 25-39
    4. Donatella Vicari, Maurizio Vichi
      Pages 51-65
  3. Data Analysis

    1. Front Matter
      Pages 79-79
    2. Gerhard Arminger, Jörg Wittenberg
      Pages 81-93
    3. Jean-Pierre Barthélemy, François Brucker
      Pages 95-104
    4. Frank Critchley
      Pages 121-134
    5. John A. Hartigan
      Pages 169-181
    6. Henk A. L. Kiers, Wojtek J. Krzanowski
      Pages 207-218
    7. Ludovic Lebart
      Pages 233-243
    8. Israël César Lerman, Valérie Rouat
      Pages 245-257
    9. Fionn Murtagh, Jean-Luc Starck, Norman McMillan, Jonathan G. Campbell
      Pages 273-284
    10. Shizuhiko Nishisato
      Pages 285-298
    11. Wolfgang Polasek, Ren Lei
      Pages 299-311
    12. Jean-Paul Rasson, Didier Jacquemin, Vincent Bertholet
      Pages 313-324
    13. Alfredo Rizzi
      Pages 325-334
    14. Peter J. Rousseeuw, Katrien Van Driessen
      Pages 335-346
    15. Yves Schektman, Rafik Abdesselam
      Pages 359-368
    16. Michael P. Windham
      Pages 385-392
  4. Applications

    1. Front Matter
      Pages 393 -393
    2. Ursula Becker, Ludwig Fahrmeir
      Pages 395-404
    3. Lucinda L. Bryant, Peter G. Bryant
      Pages 405-411
    4. Ursula Gather, Roland Fried, Michael Imhoff
      Pages 413-428
    5. Wolfgang Gaul, Lars Schmidt-Thieme
      Pages 429-445
    6. Patrick J. F. Groenen, Rudolf Mathar, Javier Trejos
      Pages 459-469
    7. David J. Hand
      Pages 471-475
    8. Harald Hruschka, Markus Probst, Werner Fettes
      Pages 477-486
    9. Otto Opitz, Andreas Hilbert
      Pages 505-514
  5. Back Matter
    Pages 521-528

About this book

Introduction

"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.

Keywords

Optimization Methods Symbol algorithms calculus classification clustering communication data analysis data mining entropy information modeling optimization regression statistics

Editors and affiliations

  • Wolfgang Gaul
    • 1
  • Otto Opitz
    • 2
  • Martin Schader
    • 3
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversität Karlsruhe (TH)KarlsruheGermany
  2. 2.Lehrstuhl für Mathematische Methoden der WirtschaftswissenschaftenUniversität AugsburgAugsburgGermany
  3. 3.Lehrstuhl für Wirtschaftsinformatik IIIUniversität MannheimMannheimGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-58250-9
  • Copyright Information Springer-Verlag Berlin · Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67731-4
  • Online ISBN 978-3-642-58250-9
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site