Classification in the Information Age -

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Résumé :
Plenary and Semi Plenary Presentations.- Classification and Information.- Scientific Information Systems and Metadata.- Multiple Expert Fusion.- How To Make a Multimedia Textbook and How to Use It.- Clustering and Neural Network Approaches.- Data Model and Classification by Trees.- A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ISTOS: An Application in the Computer Networking Domain.- Natural and Constrained Classification of Data by Fuzzy Clustering Techniques.- Finance and Risk.- From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures.- Does the Planning Horizon Affect the Portfolio Structure?.- 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.- On Data-Based Checking of Hypotheses in the Presence of Uncertain Knowledge.- Multivariate Directional Tests with Incomplete Data.- Classification and Positioning of Data Mining Tools.- Hazard Rate Estimation from Censored Data.- A Sequential Modification of EM Algorithm.- Analysis of the Stability of Clusters of Variables via Bootstrap.- Models and Methods for Clusterwise Linear Regression.- Statistical Clustering Under Distortions: Optimality and Robustness.- Discrete Scan Statistics for Detecting Change-points in Binomial Sequences.- Dynamic Confinement, Classification, and Imaging.- Approximation of Distributions by Sets.- Computation of the Minimum Covariance Determinant Estimator.- Graphical Tools for the Detection of Multiple Outliers in Spatial Statistics Models.- Classification for Repeated Measurements in Gaussian and Related Populations.- Optimal vs. Classical Linear DimensionReduction.- Testing for the Number of States in Hidden Markov Models with Application to Ion Channel Data.- ClustanGraphics3: Interactive Graphics for Cluster Analysis.- Conceptual Analysis and Learning.- Conceptual Meaning of Clusters.- Group Theoretical Structures for Representing Data Contexts.- The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions.- Efficient State-Space Representation by Neural Maps for Reinforcement Learning.- Match-Gaphs of Random Digraphs.- An Improved Training Method for Feed-Forward Neural Networks.- Decision Support By Order Diagrams.- Neural Network Classification in Exponential Models with Unknown Statistics.- Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing.- Usage of New Media and the Internet.- Information Systems, Multimedia, and WWW.- Remote Data Analysis Using Java.- Metrics for World Wide Web Information Systems.- Modeling Concepts for Flexible Workflow Support.- Navigation and Classification on the Internet and Virtual Universities.- Visualization and Categorization of Cached Hypermedia Data.- Virtualization of Course Structures Through Adaptive Internet Techniques.- Navigation in Cyberspace Using Multi-Dimensional Scaling to Create Three-dimensional Navigational Maps.- Structured Documentation. An Approach to Identify and Model Knowledge Components for Learning Purposes.- Applications in Economics.- Finance, Capital, and Risk Management.- Measurement of the Probability of Insolvency with Mixture-of-Experts Networks.- An Application of Methods of Multivariate Data Analysis to Compare Different Approaches to Exchange Rate Forecasting.- Intelligent Software Agents: Current Technology and Potential Impact on Electronic Markets and Intermediaries.- Clustering of Stocks in Risk Context.- Measuring Risk in Value-at-Risk Based on Student's t-Distribution.- Using ANN to Estimate VaR.- Forecasting Discretized Daily USD/DEM Exchange Rate Movements with Qu...