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Data Analysis and Decision Support

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Cover of 'Data Analysis and Decision Support'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization in Symbolic Data Analysis: Dissimilarities, Class Centers, and Clustering
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    Chapter 2 An Efficient Branch and Bound Procedure for Restricted Principal Components Analysis
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    Chapter 3 A Tree Structured Classifier for Symbolic Class Description
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    Chapter 4 A Diversity Measure for Tree-Based Classifier Ensembles
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    Chapter 5 Repeated Confidence Intervals in Self-Organizing Studies
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    Chapter 6 Fuzzy and Crisp Mahalanobis Fixed Point Clusters
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    Chapter 7 Interpretation Aids for Multilayer Perceptron Neural Nets
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    Chapter 8 An Unfolding Scaling Model for Aggregated Preferential Choice Data
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    Chapter 9 Model-Based Clustering — Discussion on Some Approaches
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    Chapter 10 Three-Way Multidimensional Scaling: Formal Properties and Relationships Between Scaling Methods
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    Chapter 11 Empirical Approach as a Scientific Framework for Data Analysis
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    Chapter 12 Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm
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    Chapter 13 Aggregation of Ordinal Judgements Based on Condorcet’s Majority Rule
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    Chapter 14 ANOVA Models with Generalized Inverses
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    Chapter 15 Patterns in Search Queries
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    Chapter 16 Performance Drivers for Depth-First Frequent Pattern Mining
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    Chapter 17 On the Performance of Algorithms for Two-Mode Hierarchical Cluster Analysis — Results from a Monte Carlo Simulation Study
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    Chapter 18 Clustering Including Dimensionality Reduction
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    Chapter 19 The Number of Clusters in Market Segmentation
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    Chapter 20 On Variability of Optimal Policies in Markov Decision Processes
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    Chapter 21 Linking Quality Function Deployment and Conjoint Analysis for New Product Design
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    Chapter 22 Financial Management in an International Company: An OR-Based Approach for a Logistics Service Provider
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    Chapter 23 Development of a Long-Term Strategy for the Moscow Urban Transport System
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    Chapter 24 The Importance of E-Commerce in China and Russia — An Empirical Comparison
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    Chapter 25 Analyzing Trading Behavior in Transaction Data of Electronic Election Markets
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    Chapter 26 Critical Success Factors for Data Mining Projects
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    Chapter 27 Equity Analysis by Functional Approach
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    Chapter 28 A Multidimensional Approach to Country of Origin Effects in the Automobile Market
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    Chapter 29 Loyalty Programs and Their Impact on Repeat Purchase Behaviour: An Extension on the “Single Source” Panel BehaviorScan
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    Chapter 30 An Empirical Examination of Daily Stock Return Distributions for U.S. Stocks
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    Chapter 31 Stages, Gates, and Conflicts in New Product Development: A Classification Approach
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    Chapter 32 Analytical Lead Management in the Automotive Industry
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    Chapter 33 Die Nutzung von multivariaten statistischen Verfahren in der Praxis - Ein Erfahrungsbericht 20 Jahre danach
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    Chapter 34 Heuristic Bundling
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    Chapter 35 The Option of No-Purchase in the Empirical Description of Brand Choice Behaviour
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    Chapter 36 klaR Analyzing German Business Cycles
Overall attention for this book and its chapters
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2 institutions with syllabi
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Citations

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Title
Data Analysis and Decision Support
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/3-540-28397-8
ISBNs
978-3-54-028397-3, 978-3-54-026007-3
Authors

Baier, Daniel, Decker, Reinhold, Schmidt-Thieme, Lars

Editors

Baier, Daniel, Decker, Reinhold, Schmidt-Thieme, Lars

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 5%
Lecturer > Senior Lecturer 1 5%
Unknown 18 90%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 5%
Social Sciences 1 5%
Unknown 18 90%