Exploratory Data Analysis in Empirical Research

Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001

  • Manfred Schwaiger
  • Otto Opitz
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Classification, Data Analysis and Statistics

    1. Front Matter
      Pages 1-1
    2. P. Brito, F. A. T. de Carvalho
      Pages 12-21
    3. M. Csernel, F. A. T. de Carvalho
      Pages 22-30
    4. F. Domenach, B. Leclerc
      Pages 31-40
    5. A. Dugarjapov, G. Lausen
      Pages 41-49
    6. L. Fahrmeir, C. Gössl, A. Hennerfeind
      Pages 50-57
    7. M. T. Gallegos
      Pages 58-66
    8. E. Godehardt, J. Jaworski
      Pages 67-81
    9. A. Grauel, I. Renners, E. Saavedra
      Pages 82-89
    10. K. Jajuga, M. Walesiak, A. Bak
      Pages 104-109
    11. S. Lang, P. Kragler, G. Haybach, L. Fahrmeir
      Pages 133-140
    12. G. J. McLachlan, S. K. Ng, D. Peel
      Pages 141-148
  3. Web Wining, Data Mining and Computer Science

    1. Front Matter
      Pages 227-227
    2. W. Böhm, A. Geyer-Schulz, M. Hahsler, M. Jahn
      Pages 229-239
    3. A. Nürnberger, A. Klose, R. Kruse, G. Hartmann, M. Richards
      Pages 257-265
    4. J. R. Punin, M. S. Krishnamoorthy, M. J. Zaki
      Pages 266-281
    5. U. Rist
      Pages 282-290
    6. T. A. Runkler, J. C. Bezdek
      Pages 291-299
    7. F. Säuberlich, K.-P. Huber
      Pages 309-318
  4. Medicine, Biological Sciences and Health

    1. Front Matter
      Pages 319-319
    2. T. Hothorn, I. Pal, O. Gefeller, B. Lausen, G. Michelson, D. Paulus
      Pages 346-356
    3. M. Radespiel-Tröger, T. Rabenstein, L. Höpfner, H. T. Schneider
      Pages 357-365
    4. J. Stausberg, Th. Albrecht
      Pages 385-391
    5. A. Ziegler, O. Hartmann, I. R. König, H. Schäfer
      Pages 401-409
  5. Marketing, Finance and Management Science

    1. Front Matter
      Pages 411-411
    2. H. H. Bauer, M. Staat, M. Hammerschmidt
      Pages 422-432

About these proceedings


Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.


Cluster analysis Estimator Measure Sage Statistical Models Time series algorithms best fit buying clustering computer science data analysis optimization service-oriented computing simulation

Editors and affiliations

  • Manfred Schwaiger
    • 1
  • Otto Opitz
    • 2
  1. 1.Munich School of Management Institute of Corporate Development and OrganizationUniversity of MunichMunichGermany
  2. 2.Department of Mathematical Methods in EconomicsUniversity of AugsburgAugsburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-44183-0
  • Online ISBN 978-3-642-55721-7
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site