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Exploratory Data Analysis in Empirical Research

Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Manfred Schwaiger

    1. Munich School of Management Institute of Corporate Development and Organization, University of Munich, Munich, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Otto Opitz

    1. Department of Mathematical Methods in Economics, University of Augsburg, Augsburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xvi
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  2. Classification, Data Analysis and Statistics

    1. Front Matter

      Pages 1-1
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    2. Sliced Inverse Regression for High-dimensional Time Series

      • C. Becker, R. Fried
      Pages 3-11

    3. Symbolic Clustering of Constrained Probabilistic Data

      • P. Brito, F. A. T. de Carvalho
      Pages 12-21

    4. On Memory Requirement with Normal Symbolic Form

      • M. Csernel, F. A. T. de Carvalho
      Pages 22-30

    5. On the Roles of Galois Connections in Classification

      • F. Domenach, B. Leclerc
      Pages 31-40

    6. Mining Sets of Time Series: Description of Time Points

      • A. Dugarjapov, G. Lausen
      Pages 41-49

    7. Spatial Smoothing with Robust Priors in Functional MRI

      • L. Fahrmeir, C. Gössl, A. Hennerfeind
      Pages 50-57

    8. Clustering in the Presence of Outliers

      • M. T. Gallegos
      Pages 58-66

    9. Two Models of Random Intersection Graphs for Classification

      • E. Godehardt, J. Jaworski
      Pages 67-81

    10. Classification Techniques based on Methods of Computational Intelligence

      • A. Grauel, I. Renners, E. Saavedra
      Pages 82-89

    11. Constrained Correspondence Analysis for Seriation in Archaeology Applied to Sagalassos Ceramic Tablewares

      • P. J. F. Groenen, J. Poblome
      Pages 90-97

    12. The Moment Preservation Method of Cluster Analysis

      • B. Harris
      Pages 98-103

    13. On The General Distance Measure

      • K. Jajuga, M. Walesiak, A. Bak
      Pages 104-109

    14. Tests for One-dimensional Nearest Neighbors Clusters

      • J. Krauth
      Pages 110-118

    15. Integration of Cluster Analysis and Visualization Techniques for Visual Data Analysis

      • M. Kreuseler, T. Nocke, H. Schumann
      Pages 119-132

    16. Bayesian Space-time Analysis of Health Insurance Data

      • S. Lang, P. Kragler, G. Haybach, L. Fahrmeir
      Pages 133-140

    17. On Clustering by Mixture Models

      • G. J. McLachlan, S. K. Ng, D. Peel
      Pages 141-148

    18. Using Additive Conjoint Measurement Analysis of Social Network Data

      • A. Okada
      Pages 149-156

    19. Bayesian Latent Class Metric Conjoint Analysis — A Case Study from the Austrian Mineral Water Market

      • Th. Otter, R. Tüchler, S. Frühwirth-Schnatter
      Pages 157-169
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Keywords

About this book

Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

Editors and Affiliations

  • Munich School of Management Institute of Corporate Development and Organization, University of Munich, Munich, Germany

    Manfred Schwaiger

  • Department of Mathematical Methods in Economics, University of Augsburg, Augsburg, Germany

    Otto Opitz

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