Classification — the Ubiquitous Challenge: Proceedings of the 28Author: Professor Dr. Claus Weihs, Professor Dr. Wolfgang Gaul Published by Springer Berlin Heidelberg ISBN: 978-3-540-25677-9 DOI: 10.1007/3-540-28084-7Table of Contents:Classification and Data Mining in Musicology Bayesian Mixed Membership Models for Soft Clustering and Classification Predicting Protein Secondary Structure with Markov Models Milestones in the History of Data Visualization: A Case Study in Statistical Historiography Quantitative Text Typology: The Impact of Word Length Cluster Ensembles Bootstrap Confidence Intervals for Three-way Component Methods Organising the Knowledge Space for Software Components Multimedia Pattern Recognition in Soccer Video Using Time Intervals Quantitative Assessment of the Responsibility for the Disease Load in a Population Bootstrapping Latent Class Models Dimensionality of Random Subspaces Two-stage Classification with Automatic Feature Selection for an Industrial Application Bagging, Boosting and Ordinal Classification A Method for Visual Cluster Validation Empirical Comparison of Boosting Algorithms Iterative Majorization Approach to the Distance-based Discriminant Analysis An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Expectation of Random Sets and the ‘Mean Values’ of Interval Data Experimental Design for Variable Selection in Data Bases, "This volume contains revised versions of selected papers presented during the 28th Annual Conference of the Gesellschaft für Klassifikation (GfKI), the German Classification Society. The conference was held at the Universität Dortmund in Dortmund, Germany."--Preface, p. [v], Includes bibliographical references and index