Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

  • Wolfgang A. Gaul
  • Andreas Geyer-Schulz
  • Lars Schmidt-Thieme
  • Jonas Kunze

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Classification, Cluster Analysis, and Multidimensional Scaling

    1. Front Matter
      Pages 1-1
    2. Salvatore Ingrassia, Simona C. Minotti, Giuseppe Incarbone
      Pages 13-21
    3. Masahiro Mizuta, Hiroyuki Minami
      Pages 23-28
    4. Hans-Joachim Mucha, Hans-Georg Bartel
      Pages 37-47
    5. Julia Schiffner, Bernd Bischl, Claus Weihs
      Pages 49-57
    6. Kensuke Tanioka, Hiroshi Yadohisa
      Pages 59-67
    7. Claus Weihs, Olaf Mersmann, Bernd Bischl, Arno Fritsch, Heike Trautmann, Till Moritz Karbach et al.
      Pages 69-77
  3. Quantification Theory

  4. Analysis of m-Mode n-Way and Asymmetric Data

About these proceedings


This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology.


Applied Statistics Classification Clustering Data Analysis

Editors and affiliations

  • Wolfgang A. Gaul
    • 1
  • Andreas Geyer-Schulz
    • 2
  • Lars Schmidt-Thieme
    • 3
  • Jonas Kunze
    • 4
  1. 1.Fak. Wirtschaftswissenschaften, Inst. EntscheidungstheorieundUniversität Karlsruhe (TH)KarlsruheGermany
  2. 2.Insitute for Information Systems, and Management (IISM)Karlsruhe Institute of Technology (KIT)KarlsruheGermany
  3. 3., Information SystemsUniversity ofHildesheimHildesheimGermany
  4. 4.Institute for Information Systems, and Management (IISM)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-24465-0
  • Online ISBN 978-3-642-24466-7
  • Series Print ISSN 1431-8814
  • About this book