Innovations in Classification, Data Science, and Information Systems

Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12–14, 2003

  • Daniel Baier
  • Klaus-Dieter Wernecke
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Discrimination and Clustering

    1. Sergiu Chelcea, Patrice Bertrand, Brigitte Trousse
      Pages 3-10
    2. Francisco A.T. de Carvalho, Simith T. D’Oliveira Júnior
      Pages 11-18
    3. Wayne S. DeSarbo, Duncan K. H. Fong, John Liechty
      Pages 19-29
    4. Tim Garlipp, Christine H. Müller
      Pages 38-45
    5. Jean-Paul Rasson, Jean-Yves Pirçon, François Roland
      Pages 54-61
    6. Manfred Schwaiger, Raimund Rix
      Pages 62-68
    7. Ute Simon, Hans-Joachim Mucha, Rainer Brüggemann
      Pages 69-76
    8. Ralf Steuer, Carsten O. Daub, Joachim Selbig, Jürgen Kurths
      Pages 81-90
  3. Probability Models and Statistical Methods

About these proceedings

Keywords

Analysis Time series clustering controlling data analysis information system learning production statistics

Editors and affiliations

  • Daniel Baier
    • 1
  • Klaus-Dieter Wernecke
    • 2
  1. 1.Institute of Business Administration and EconomicsBrandenburg University of Technology CottbusCottbusGermany
  2. 2.Department of Medical Biometrics Charité Virchow-KlinikumHumboldt University BerlinBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/b138406
  • Copyright Information Springer-Verlag Berlin · Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-23221-6
  • Online ISBN 978-3-540-26981-6
  • Series Print ISSN 1431-8814