Data Analysis and Decision Support

ISBN: 978-3-540-26007-3 (Print) 978-3-540-28397-3 (Online)

Table of contents (36 chapters)

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  1. Data Analysis

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      Pages 3-10

      Optimization in Symbolic Data Analysis: Dissimilarities, Class Centers, and Clustering

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      Pages 11-20

      An Efficient Branch and Bound Procedure for Restricted Principal Components Analysis

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      Pages 21-29

      A Tree Structured Classifier for Symbolic Class Description

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      Pages 30-38

      A Diversity Measure for Tree-Based Classifier Ensembles

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      Pages 39-46

      Repeated Confidence Intervals in Self-Organizing Studies

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      Pages 47-56

      Fuzzy and Crisp Mahalanobis Fixed Point Clusters

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      Pages 57-64

      Interpretation Aids for Multilayer Perceptron Neural Nets

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      Pages 65-72

      An Unfolding Scaling Model for Aggregated Preferential Choice Data

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      Pages 73-81

      Model-Based Clustering — Discussion on Some Approaches

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      Pages 82-90

      Three-Way Multidimensional Scaling: Formal Properties and Relationships Between Scaling Methods

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      Pages 91-99

      Empirical Approach as a Scientific Framework for Data Analysis

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      Pages 100-107

      Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm

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      Pages 108-112

      Aggregation of Ordinal Judgements Based on Condorcet’s Majority Rule

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      Pages 113-121

      ANOVA Models with Generalized Inverses

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      Pages 122-129

      Patterns in Search Queries

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      Pages 130-140

      Performance Drivers for Depth-First Frequent Pattern Mining

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      Pages 141-148

      On the Performance of Algorithms for Two-Mode Hierarchical Cluster Analysis — Results from a Monte Carlo Simulation Study

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      Pages 149-156

      Clustering Including Dimensionality Reduction

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      Pages 157-176

      The Number of Clusters in Market Segmentation

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      Pages 177-185

      On Variability of Optimal Policies in Markov Decision Processes

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