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  • © 2005

Data Analysis and Decision Support

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Table of contents (36 chapters)

  1. Front Matter

    Pages I-XI
  2. Data Analysis

    1. A Tree Structured Classifier for Symbolic Class Description

      • Edwin Diday, M. Mehdi Limam, Suzanne Winsberg
      Pages 21-29
    2. Repeated Confidence Intervals in Self-Organizing Studies

      • Joachim Hartung, Guido Knapp
      Pages 39-46
    3. Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm

      • Akinori Okada, Tadashi Imaizumi, Hiroshi Inoue
      Pages 100-107
    4. ANOVA Models with Generalized Inverses

      • Wolfgang Polasek, Shuangzhe Liu
      Pages 113-121
    5. Patterns in Search Queries

      • Nadine Schmidt-Mänz, Martina Koch
      Pages 122-129
    6. Performance Drivers for Depth-First Frequent Pattern Mining

      • Lars Schmidt-Thieme, Martin Schader
      Pages 130-140
    7. Clustering Including Dimensionality Reduction

      • Maurizio Vichi
      Pages 149-156
    8. The Number of Clusters in Market Segmentation

      • Ralf Wagner, Sören W. Scholz, Reinhold Decker
      Pages 157-176

About this book

It is a great privilege and pleasure to write a foreword for a book honor­ ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia­ tives and has achieved an unprecedented level of success in facilitating com­ munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net­ work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea­ surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.

Editors and Affiliations

  • Institute of Business Administration and Economics, Brandenburg University of Technology Cottbus, Cottbus, Germany

    Daniel Baier

  • Department of Business Administration and Economics, Bielefeld University, Bielefeld, Germany

    Reinhold Decker

  • Computer Based New Media Group (CGNM), Institute for Computer Science, University of Freiburg, Freiburg, Germany

    Lars Schmidt-Thieme

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access