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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

  5. Analysis of Visual, Spatial, and Temporal Data

    1. Front Matter
      Pages 161-161
    2. Martin Behnisch, Alfred Ultsch
      Pages 163-171
    3. Patrick Erik Bradley
      Pages 173-182
    4. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
      Pages 183-191
    5. Marco Helbich, Michael Leitner
      Pages 193-201
    6. Luca Bagnato, Antonio Punzo
      Pages 203-211
  6. Network Data, Graphs, and Social Relationships

    1. Front Matter
      Pages 213-213
    2. Andreas Baumgart, Ulrich Müller-Funk
      Pages 215-223
    3. Michael Ovelgönne, Andreas Geyer-Schulz
      Pages 225-232
    4. Giuseppe Giordano, Germana Scepi
      Pages 233-241
    5. Erhard Godehardt, Jerzy Jaworski, Katarzyna Rybarczyk
      Pages 243-253
    6. Nicolas Greffard, Fabien Picarougne, Pascale Kuntz
      Pages 255-262
    7. Martin Hopfensitz, Markus Maucher, Hans A. Kestler
      Pages 263-270
    8. Andreas W. Neumann, Kiryl Batsiukov
      Pages 271-279
    9. Katarzyna Rybarczyk
      Pages 291-299
    10. Andreas C. Sonnenbichler, Christopher Bazant
      Pages 301-309
  7. Text Mining

    1. Front Matter
      Pages 329-329
    2. Wilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik
      Pages 341-349
  8. Dimension Reduction

    1. Front Matter
      Pages 351-351
    2. Kay F. Hildebrand, Ulrich Müller-Funk
      Pages 353-361
    3. Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
      Pages 363-370
  9. Statistical Musicology

About these proceedings

Introduction

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.

Keywords

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 https://doi.org/10.1007/978-3-642-24466-7
  • 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
  • Buy this book on publisher's site
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