Classification in the Information Age
Proceedings of the 22nd Annual GfKl Conference, Dresden, March 4-6, 1998
Published on 16. July 1999
Book
Paperback/Softback
XII, 608 pages
978-3-540-65855-9 (ISBN)
Description
nd Selected papers presented at the 22 Annual Conference of the German Classification Society GfKI (Gesellschaft fUr Klassifikation), held at the Uni- versity of Dresden in 1998, are contained in this volume of "Studies in Clas- sification, Data Analysis, and Knowledge Organization" . One aim of GfKI was to provide a platform for a discussion of results con- cerning a challenge of growing importance that could be labeled as "Classi- fication in the Information Age" and to support interdisciplinary activities from research and applications that incorporate directions of this kind. As could be expected, the largest share of papers is closely related to classi- fication and-in the broadest sense-data analysis and statistics. Additionally, besides contributions dealing with questions arising from the usage of new media and the internet, applications in, e.g., (in alphabetical order) archeolo- gy, bioinformatics, economics, environment, and health have been reported.
As always, an unambiguous assignment of results to single topics is some- times difficult, thus, from more than 130 presentations offered within the scientific program 65 papers are grouped into the following chapters and subchapters: * Plenary and Semi Plenary Presentations - Classification and Information - Finance and Risk * Classification and Related Aspects of Data Analysis and Learning - Classification, Data Analysis, and Statistics - Conceptual Analysis and Learning * Usage of New Media and the Internet - Information Systems, Multimedia, and WWW - Navigation and Classification on the Internet and Virtual Univ- sities * Applications in Economics
As always, an unambiguous assignment of results to single topics is some- times difficult, thus, from more than 130 presentations offered within the scientific program 65 papers are grouped into the following chapters and subchapters: * Plenary and Semi Plenary Presentations - Classification and Information - Finance and Risk * Classification and Related Aspects of Data Analysis and Learning - Classification, Data Analysis, and Statistics - Conceptual Analysis and Learning * Usage of New Media and the Internet - Information Systems, Multimedia, and WWW - Navigation and Classification on the Internet and Virtual Univ- sities * Applications in Economics
More details
Series
Edition
Softcover reprint of the original 1st ed. 1999
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
46 s/w Abbildungen
XII, 608 p. 46 illus.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 34 mm
Weight
1060 gr
ISBN-13
978-3-540-65855-9 (9783540658559)
DOI
10.1007/978-3-642-60187-3
Schweitzer Classification
Content
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 Quantitative Models.- Study Major Choice - Factor Preference Measurement.- What is "Incentive Compatibility"?.- Marketing and Market Research.- An Integrative Approach for Product Development and Customer Satisfaction Measurement.- Market Segmentation and Profiling Using Artificial Neural Networks.- A Classification Approach for Competitive Pricing.- Panel-Data Based Competitive Market Structure and Segmentation Analysis Using Self-Organizing Feature Maps.- Analysis of A Priori Defined Groups in Applied Market Research.- Modeling and Measuring of Competitive Reactions to Changes of Marketing Mix at the Retail Level.- Applications in Archeology, Bioinformatics, Environment, and Health.- Bayesian Statistics for Archaeology.- Investigating Information Retrieval with the Environmental Thesaurus of the Umweltbundesamt.- Data Mining with a Neuro-Fuzzy Model for the Ozone Prognosis.- Attributing Shares of Risk to Grouped or Hierarchically Ordered Factors.- New Hypotheses and Tests for the Multivariate Bioequivalence Problem.- Diagnostic Support in Allergology Using Interactive Learning Classifier Systems.- On Nonparametric Repeated Measures Analysis of Variance.