Classification — the Ubiquitous Challenge

Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Dortmund, March 9–11, 2004

ISBN: 978-3-540-25677-9 (Print) 978-3-540-28084-2 (Online)

Table of contents (82 chapters)

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  1. (Semi-) Plenary Presentations

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      Pages 3-10

      Classification and Data Mining in Musicology

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      Pages 11-26

      Bayesian Mixed Membership Models for Soft Clustering and Classification

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      Pages 27-33

      Predicting Protein Secondary Structure with Markov Models

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      Pages 34-52

      Milestones in the History of Data Visualization: A Case Study in Statistical Historiography

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      Pages 53-64

      Quantitative Text Typology: The Impact of Word Length

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      Pages 65-72

      Cluster Ensembles

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      Pages 73-84

      Bootstrap Confidence Intervals for Three-way Component Methods

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      Pages 85-96

      Organising the Knowledge Space for Software Components

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      Pages 97-108

      Multimedia Pattern Recognition in Soccer Video Using Time Intervals

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      Pages 109-117

      Quantitative Assessment of the Responsibility for the Disease Load in a Population

  2. Classification and Data Analysis

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      Pages 121-128

      Bootstrapping Latent Class Models

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      Pages 129-136

      Dimensionality of Random Subspaces

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      Pages 137-144

      Two-stage Classification with Automatic Feature Selection for an Industrial Application

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      Pages 145-152

      Bagging, Boosting and Ordinal Classification

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      Pages 153-160

      A Method for Visual Cluster Validation

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      Pages 161-167

      Empirical Comparison of Boosting Algorithms

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      Pages 168-175

      Iterative Majorization Approach to the Distance-based Discriminant Analysis

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      Pages 176-183

      An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables

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      Pages 184-191

      Expectation of Random Sets and the ‘Mean Values’ of Interval Data

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      Pages 192-199

      Experimental Design for Variable Selection in Data Bases

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