Plenary and Semi Plenary Presentations: Classification and Information: M. Grötschel, J. Lügger: Scientific Information Systems and Metadata.- J. Kittler: Multiple Expert Fusion.- T. Ottmann, M. Will: How to Make a Multimedia Textbook and How to Use It.- H.-H. Bock: Clustering and Neural Network Approaches.- O. Gascuel: Data Model and Classification by Trees.- A. Pombortsis, S. Demetriadis, A. Karoulis: A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: 'ISTOS: An Application in the Computer Networking Domain'.- E. Trauwaert: Natural and Constrained Classification of Data by Fuzzy Clustering Techniques.- Finance and Risk: H. Brachinger: From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures.- G. Bamberg, D. Dorfleitner, R. Lasch: Does the Planning Horizon Affect the Portfolio Structure?.- K. Jajuga: Statistical Approach in Financial Risk Analysis and Management - Review of Concepts.- Classification and Related Aspects of Data Analysis and Learning: Classification, Data Analysis, and Statistics: T. Augustin: On Data-Based Checking of Hypothesis in the Presence of Uncertain Knowledge.- T. Bregenzer: Multivariate Directional Tests with Incomplete Data.- W. Gaul, F. Säuberlich: Classification and Positioning of Data Mining Tools.- O. Gefeller: Hazard Rate Estimation from Censored Data.- J. Grim: A Sequential Modification of EM Algorithm.- U. Halekoh, K. Schweizer: Analysis of the Stability of Clusters of Variables via Bootstrap.- C. Hennig: Models and Methods for Clusterwise Linear Regression.- Yu. Kharin: Statistical Clustering Under Distortions: Optimality and Robustness.- J. Krauth: Discrete Scan Statistics for Detecting Change-points in Binominal Sequences.- J. Mattes, J.Demongeot: Dynamic Confinement, Classification, and Imaging.- K. Pärna, J. Lember, A. Viiart: Approximation of Distributions by Sets.- C. Pesch: Computation of the Minimum Covariance Determinant Estimator.- M. Riani, A. Cerioli: Graphical Tools for the Detection of Multiple Outliers in Spatial Statistics Models.- W.-D. Richter: Classification for Repeated Measurements in Gaussian and Related Populations.- M. Röhl, C. Weihs: Optimal vs. Classical Linear Dimension Reduction.- M. Wagner, S. Michalek, J. Timmer: Testing for the Number of States in Hidden Markov Models with Application to Ion Channel Data.- D. Wishart: ClustanGraphics3: Interactive Graphics for Cluster Analysis.- Conceptual Analysis and Learning: P. Bittner, C. Eckes, K. Wolff: Conceptional Meaning of Clusters.- A. Großkopf: Group Theoretical Structures for Representing Data Contexts.- B. Harris, E. Godehardt: The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions.- M. Herrmann, R. Der: Efficient State-Space Representation by Neural Maps for Reinforcement Learning.- J. Jaworski, Z. Palka: Match-Graphs of Random Digraphs.- M. Lendl, R. Unbehauen: An Improved Training Method for Feed-Forward Neural Networks.- T. Rönsch, G. Weißhahn: Decision Support By Order Diagrams.- I. Vajda: Neural Network Classification in Exponential Models with Unknown Statistics.- R. Wille: Conceptional Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing.- Usage of New Media and the Internet: Information Systems, Multimedia, and WWW: S. Kuhlins, M. Schader: Remote Data Analysis Using Java.- K. Lenz, A. Oberweis, A. v. Poblotzki: Metrics for World Wide Web Information Systems.- R. Schätzle, W. Stucky: Modeling Concepts for Flexible