Data Analysis, Machine Learning and Applications

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007

  • Christine Preisach
  • Hans Burkhardt
  • Lars Schmidt-Thieme
  • Reinhold Decker

Table of contents

  1. Exploratory Data Analysis and Tools for Data Analysis

    1. Joaquin Vanschoren, Hendrik Blockeel
      Pages 421-428
  2. Marketing and Management Science

  3. Banking and Finance

  4. Business Intelligence

    1. Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thieme
      Pages 525-532
    2. Leandro Balby Marinho, Lars Schmidt-Thieme
      Pages 533-540
    3. Andreas W. Neumann, Andreas Geyer-Schulz
      Pages 541-549
  5. Text Mining, Web Mining, and the Semantic Web

    1. Irene Cramer, Stefan Schacht, Andreas Merkel
      Pages 553-560
    2. Ingo Feinerer, Kurt Hornik
      Pages 569-576
    3. Berenike Loos, Chris Biemann
      Pages 577-584
    4. Berenike Loos, Mario DiMarzo
      Pages 585-592
    5. Patrick Mair, Marcus Hudec
      Pages 593-600
    6. Martin Potthast, Benno Stein
      Pages 601-609
  6. Linguistics

    1. Reinhard Köhler, Sven Naumann
      Pages 637-645
    2. John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Franz Manni
      Pages 647-654
    3. Olga Pustylnikov, Alexander Mehler
      Pages 655-662
  7. Data Analysis in Humanities

    1. Pascal Lehwark, Sebastian Risi, Alfred Ultsch
      Pages 673-680
    2. Hans-Joachim Mucha, Hans-Georg Bartel, Jens Dolata
      Pages 681-688
    3. Francesco Palumbo, Rosaria Romano, Vincenzo Esposito Vinzi
      Pages 689-696
    4. Rosanna Verde, Antonio Irpino
      Pages 705-712
  8. Back Matter
    Pages 713-719

About these proceedings


Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


artificial intelligence bioinformatics business intelligence classification clustering computer science data analysis intelligence learning linguistics machine learning semantic web service-oriented computing web mining

Editors and affiliations

  • Christine Preisach
    • 1
  • Hans Burkhardt
    • 2
  • Lars Schmidt-Thieme
    • 3
  • Reinhold Decker
    • 4
  1. 1.Institute of Computer Science and Institute of Business Economics and Information SystemsUniversity of HildesheimHildesheimGermany
  2. 2.Lehrstuhl für Mustererkennung und BildverarbeitungUniversität FreiburgFreiburg i. BrGermany
  3. 3.Institute of Computer Science and Institute of Business Economics and Information SystemsHildesheimGermany
  4. 4.Fakultät für WirtschaftswissenschaftenLehrstuhl für Betriebswirtschaftslehre, insbes. MarketingBielefeldGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-78239-1
  • Online ISBN 978-3-540-78246-9
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site