Exploratory Data Analysis in Empirical Research: Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001

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Manfred Schwaiger, Otto Opitz
Springer Science & Business Media, Dec 6, 2012 - Computers - 536 pages
Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
 

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Contents

Sliced Inverse Regression for Highdimensional Time Series
3
On Memory Requirement with Normal Symbolic Form
22
Description of Time Points
41
Clustering in the Presence of Outliers
58
Classification Techniques based on Methods of Computational Intelli
82
The Moment Preservation Method of Cluster Analysis
98
Integration of Cluster Analysis and Visualization Techniques
119
Bayesian Spacetime Analysis of Health Insurance Data
133
Thesaurus Migration in Practice
282
The Theory of Online Learning A Statistical Physics Approach
300
Knee Replacement Surgery and Learning Effects Data Evidence
320
Automated Classification of Optic Nerve Head Topography Images
346
A Type of Bayesian Small Area Estimation
366
Data Mining Tools for Quality Management in Health Care
385
Statistical Genetics Present and Future
401
Market Simulation Using Bayesian Procedures in Conjoint Analy
411

On Clustering by Mixture Models
141
Bayesian Latent Class Metric Conjoint Analysis A Case Study
157
Sensitivity Analysis
170
Combining Mental Fit and Data Fit for Classification Rule Selec
188
A Sur
204
Repeatbuying Theory and its Application for Recommender Ser
229
Web Usage Mining Languages and Algorithms
266
Optimization of Corporate Reorganization Portfolios based on
433
A Model Based
454
Measurement Pro
472
Letting Multivariate
492
Portfolio Management Using Multivariate Time Series Forecasts
514
Keywords
531
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