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Classification, Automation, and New Media

Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000

  • Wolfgang Gaul
  • Gunter Ritter

Table of contents

  1. Front Matter
    Pages i-xi
  2. Data Analysis, Statistics, and Classification

  3. Pattern Recognition and Automation

    1. Front Matter
      Pages 149-149
    2. Alex J. Smola, Olvi L. Mangasarian, Bernhard Schölkopf
      Pages 167-178
  4. Data Mining, Information Processing, and Automation

  5. New Media, Web Mining, and Automation

  6. Applications in Management Science, Finance, and Marketing

About these proceedings

Introduction

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

Keywords

Analysis Cluster analysis Estimator Factor analysis Regression analysis Resampling Sage Support Vector Machine algorithms best fit clustering data analysis information linear optimization multidimensional scaling

Editors and affiliations

  • Wolfgang Gaul
    • 1
  • Gunter Ritter
    • 2
  1. 1.Institute for Decision Theory and Operations ResearchUniversity of KarlsruheKarlsruheGermany
  2. 2.Department of Mathematics and InformaticsUniversity of PassauPassauGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-55991-4
  • Copyright Information Springer-Verlag Berlin, Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43233-3
  • Online ISBN 978-3-642-55991-4
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site