Classification in the Information Age

Table of Contents

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   Book Overview
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   Chapter 1 Scientific Information Systems and Metadata
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   Chapter 2 Multiple Expert Fusion
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   Chapter 3 How To Make a Multimedia Textbook and How to Use It
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   Chapter 4 Clustering and Neural Network Approaches
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   Chapter 5 Data Model and Classification by Trees
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   Chapter 6 A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ”ISTOS: An Application in the Computer Networking Domain”
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   Chapter 7 Natural and Constrained Classification of Data by Fuzzy Clustering Techniques
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   Chapter 8 From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures
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    Chapter 9 Does the Planning Horizon Affect the Portfolio Structure?
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    Chapter 10 Statistical Approach in Financial Risk Analysis and Management — Review of Concepts
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    Chapter 11 On Data-Based Checking of Hypotheses in the Presence of Uncertain Knowledge
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    Chapter 12 Multivariate Directional Tests with Incomplete Data
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    Chapter 13 Classification and Positioning of Data Mining Tools
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    Chapter 14 Hazard Rate Estimation from Censored Data
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    Chapter 15 A Sequential Modification of EM Algorithm
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    Chapter 16 Analysis of the Stability of Clusters of Variables via Bootstrap
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    Chapter 17 Models and Methods for Clusterwise Linear Regression
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    Chapter 18 Statistical Clustering Under Distortions: Optimality and Robustness
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    Chapter 19 Discrete Scan Statistics for Detecting Change-points in Binomial Sequences
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    Chapter 20 Dynamic Confinement, Classification, and Imaging
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    Chapter 21 Approximation of Distributions by Sets
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    Chapter 22 Computation of the Minimum Covariance Determinant Estimator
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    Chapter 23 Graphical Tools for the Detection of Multiple Outliers in Spatial Statistics Models
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    Chapter 24 Classification for Repeated Measurements in Gaussian and Related Populations
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    Chapter 25 Optimal vs. Classical Linear Dimension Reduction
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    Chapter 26 Testing for the Number of States in Hidden Markov Models with Application to Ion Channel Data
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    Chapter 27 Clustan Graphics3 Interactive Graphics for Cluster Analysis
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    Chapter 28 Conceptual Meaning of Clusters
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    Chapter 29 Group Theoretical Structures for Representing Data Contexts
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    Chapter 30 The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions
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    Chapter 31 Efficient State-Space Representation by Neural Maps for Reinforcement Learning
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    Chapter 32 Match-Gaphs of Random Digraphs
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    Chapter 33 An Improved Training Method for Feed-Forward Neural Networks
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    Chapter 34 Decision Support By Order Diagrams
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    Chapter 35 Neural Network Classification in Exponential Models with Unknown Statistics
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    Chapter 36 Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing
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    Chapter 37 Remote Data Analysis Using Java
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    Chapter 38 Metrics for World Wide Web Information Systems
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    Chapter 39 Modeling Concepts for Flexible Workflow Support
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    Chapter 40 Visualization and Categorization of Cached Hypermedia Data
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    Chapter 41 Virtualization of Course Structures Through Adaptive Internet Techniques
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    Chapter 42 Navigation in Cyberspace Using Multi-Dimensional Scaling to Create Three-dimensional Navigational Maps
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    Chapter 43 Structured Documentation. An Approach to Identify and Model Knowledge Components for Learning Purposes
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    Chapter 44 Measurement of the Probability of Insolvency with Mixture-of-Experts Networks
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    Chapter 45 An Application of Methods of Multivariate Data Analysis to Compare Different Approaches to Exchange Rate Forecasting
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    Chapter 46 Intelligent Software Agents: Current Technology and Potential Impact on Electronic Markets and Intermediaries
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    Chapter 47 Clustering of Stocks in Risk Context
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    Chapter 48 Measuring Risk in Value-at-Risk Based on Student’s t -Distribution
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    Chapter 49 Using ANN to Estimate VaR
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    Chapter 50 Forecasting Discretized Daily USD/DEM Exchange Rate Movements with Quantitative Models
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    Chapter 51 Study Major Choice — Factor Preference Measurement
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    Chapter 52 What is “Incentive Compatibility”?
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    Chapter 53 An Integrative Approach for Product Development and Customer Satisfaction Measurement
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    Chapter 54 Market Segmentation and Profiling Using Artificial Neural Networks
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    Chapter 55 A Classification Approach for Competitive Pricing
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    Chapter 56 Panel-Data Based Competitive Market Structure and Segmentation Analysis Using Self-Organizing Feature Maps
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    Chapter 57 Analysis of A Priori Defined Groups in Applied Market Research
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    Chapter 58 Modeling and Measuring of Competitive Reactions to Changes of Marketing Mix at the Retail Level
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    Chapter 59 Bayesian Statistics for Archaeology
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    Chapter 60 Investigating Information Retrieval with the Environmental Thesaurus of the Umweltbundesamt
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    Chapter 61 Data Mining with a Neuro-Fuzzy Model for the Ozone Prognosis
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    Chapter 62 Attributing Shares of Risk to Grouped or Hierarchically Ordered Factors
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    Chapter 63 New Hypotheses and Tests for the Multivariate Bioequivalence Problem
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    Chapter 64 Diagnostic Support in Allergology Using Interactive Learning Classifier Systems
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    Chapter 65 On Nonparametric Repeated Measures Analysis of Variance