Table of contents

  1. Front Matter
    Pages i-xx
  2. Invited

    1. Front Matter
      Pages 1-1
    2. Andrea Cerioli, Marco Riani, Francesca Torti
      Pages 3-17
    3. Willem J. Heiser, Antonio D’Ambrosio
      Pages 19-31
  3. Clustering and Unsupervised Learning

    1. Front Matter
      Pages 47-47
    2. Grigory Alexandrovich, Hajo Holzmann, Surajit Ray
      Pages 49-57
    3. Florent Domenach, Ali Tayari
      Pages 59-67
    4. Wolfgang Gaul, Rebecca Klages
      Pages 79-86
    5. Jan Hendrik Kobarg, Theodore Alexandrov
      Pages 95-103
    6. Akinori Okada, Satoru Yokoyama
      Pages 105-113
    7. Cristina Tortora, Mireille Gettler Summa, Francesco Palumbo
      Pages 115-123
  4. Statistical Data Analysis, Visualization and Scaling

    1. Front Matter
      Pages 125-125
    2. Damien McParland, Isobel Claire Gormley
      Pages 127-135
    3. Michael Salter-Townshend, Thomas Brendan Murphy
      Pages 137-145
    4. Ulas Akkucuk, J. Douglas Carroll, Stephen L. France
      Pages 147-154
    5. Carlos Cuevas-Covarrubias
      Pages 175-183
    6. Carmen Villar-Patiño, Miguel Angel Mendez-Mendez, Carlos Cuevas-Covarrubias
      Pages 185-193
    7. Jan Gertheiss, Veronika Stelz, Gerhard Tutz
      Pages 215-222
    8. Nina Büchel, Kay. F. Hildebrand, Ulrich Müller-Funk
      Pages 223-232
    9. Campo Elías Pardo, Jorge Eduardo Ortiz
      Pages 233-241
    10. Paul Hofmarcher, Bettina Grün, Kurt Hornik, Patrick Mair
      Pages 243-250
  5. Bioinformatics and Biostatistics

    1. Front Matter
      Pages 251-251
    2. Julia Schiffner, Erhard Godehardt, Stefanie Hillebrand, Alexander Albert, Artur Lichtenberg, Claus Weihs
      Pages 287-295
  6. Archaeology and Geography, Psychology and Educational Sciences

    1. Front Matter
      Pages 297-297
    2. Irmela Herzog, Frank Siegmund
      Pages 299-308
    3. Hans-Joachim Mucha, Jens Dolata, Hans-Georg Bartel
      Pages 309-317
    4. Christine Hohensinn, Klaus D. Kubinger, Manuel Reif
      Pages 329-336
    5. Thomas Rusch, Marco J. Maier, Reinhold Hatzinger
      Pages 337-344
  7. Text Mining, Social Networks and Clustering

    1. Front Matter
      Pages 345-345
    2. Wolfgang Gaul, Dominique Vincent
      Pages 347-354
    3. Andreas Geyer-Schulz, Michael Ovelgönne, Martin Stein
      Pages 355-363
    4. Dominik Stork, Kai Eckert, Heiner Stuckenschmidt
      Pages 365-373
  8. Banking and Finance

About these proceedings


This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​


Applied Statistics Classification Clustering Data Analysis Statistical Methodology

Editors and affiliations

  • Berthold Lausen
    • 1
  • Dirk Van den Poel
    • 2
  • Alfred Ultsch
    • 3
  1. 1.University of Essex Department of Mathematical SciencesColchesterUnited Kingdom
  2. 2.Ghent University Department of MarketingGhentBelgium
  3. 3.University of Marburg Databionics, FB 12MarburgGermany

Bibliographic information