Classification in the Information Age: Proceedings of the 22nd Annual Gfkl Conference, Dresden, March 4-6, 1998

ISBN-13: 9783540658559 / Angielski / Miękka / 1999 / 608 str.

Gesellschaft F Ur Klassifikation; H. Locarek-Junge; W. Gaul

Opis

Presenting contributions to the analysis of data in the information age, this text is aimed at scientists and professionals in the field of classification and statistics. There are research results and applications to economics, archeology, bioinformatics, environment and health.

Spis treści

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