Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008Author: Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch Published by Springer Berlin Heidelberg ISBN: 978-3-642-01043-9 DOI: 10.1007/978-3-642-01044-6Table of Contents:Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification Strategies of Model Construction for the Analysis of Judgment Data Clustering of High-Dimensional Data via Finite Mixture Models Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data Kernel Methods for Detecting the Direction of Time Series Statistical Processes Under Change: Enhancing Data Quality with Pretests Evaluation Strategies for Learning Algorithms of Hierarchies Fuzzy Subspace Clustering Motif-Based Classification of Time Series with Bayesian Networks and SVMs A Novel Approach to Construct Discrete Support Vector Machine Classifiers Predictive Classification Trees Isolated Vertices in Random Intersection Graphs Strengths and Weaknesses of Ant Colony Clustering Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models Cluster Ensemble Based on Co-occurrence Data Localized Logistic Regression for Categorical Influential Factors Clustering Association Rules with Fuzzy Concepts Clustering with Repulsive Prototypes Weakly Homoscedastic Constraints for Mixtures of t-Distributions, Includes bibliographical references and indexes