: Daniel Baier, Klaus-Dieter Wernecke
: Daniel Baier, Klaus-Dieter Wernecke
: Innovations in Classification, Data Science, and Information Systems Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
: Springer-Verlag
: 9783540269816
: 1
: CHF 132.70
:
: Buchhandel, Bibliothekswesen
: English
: 616
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

Preface6
Contents8
Discrimination and Clustering14
A New Agglomerative 2- 3 Hierarchical Clustering Algorithm15
Symbolic Classifier with Convex Hull Based Dissimilarity Function23
Two- Mode Cluster Analysis via Hierarchical Bayes31
On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse42
Regression Clustering with Redescending M- Estimators50
ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results58
Stratification Before Discriminant Analysis: A Must?66
An Exchange Algorithm for Two- Mode Cluster Analysis74
Model- Based Cluster Analysis Applied to Flow Cytometry Data81
On Stratification Using Auxiliary Variables and Discriminant Method89
Measuring Distances Between Variables by Mutual Information93
Pareto Density Estimation: A Density Estimation for Knowledge Discovery103
Probability Models and Statistical Methods113
Modelling the Claim Count with Poisson Regression and Negative Binomial Regression114
Chemical Balance Weighing Design with Different Variances of Errors122
Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data131
Robustness of ML Estimators of Location- Scale Mixtures139
On the Modification of the David- Hellwig Test149
Simultaneous Selection of Variables and Smoothing Parameters in Additive Models157
Multiple Change Points and Alternating Segments in Binary Trials with Dependence165
Outlier Identification Rules for Generalized Linear Models176
Dynamic Clustering with Non- Quadratic Adaptive Distances for Interval- Type Data184
Partial Moments and Negative Moments in Ordering Asymmetric Distributions192
Pattern Recognition and Computational Learning200
Classification of Method Fragments Using a Reference Meta Model201
Finding Metabolic Pathways in Decision Forests209
Randomization in Aggregated Classification Trees217
Data Mining - The Polish Experience227
Extracting Continuous Relevant Features234
Individual Rationality Versus Group Rationality in Statistical Modelling Issues249
Mining Promising Qualification Patterns259
Time Series Analysis267
Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series268
Bootstrap Resampling Tests for Quantized Time Series276
Imputation Strategies for Missing Data in Environmental Time Series for an Unlucky Situation284
Prediction of Notes from Vocal Time Series: An Overview292
Parsimonious Segmentation of Time Series by Potts Models304
Marketing, Retailing, and Marketing Research312
Application of Discrete Choice Methods in Consumer Preference Analysis313
Competition Analysis in Marketing Using Rank Ordered Data321
Handling Missing Values in Marketing Research Using SOM330
Applicability of Customer Churn Forecasts in a Non- Contractual Setting338
A Gravity- Based Multidimensional Unfolding Model for Preference Data346
Customer Relationship Management in the Telecommunications and Utilities Markets354
Strengths and Weaknesses of Support Vector Machines Within Marketing Data Analysis363
Classification of Career- Lifestyle Patterns of Women371
Joint Space Model for Multidimensional Scaling of Two- Mode Three- Way Asymmetric Proximities379
Structural Model of Product Meaning Using Means- End Approach387
The Concept of Chains as a Tool for MSA Contributing to the International Market Segmentation396
Statistical Analysis of Innovative Activity404
The Prospects of Electronic Commerce: The Case of the Food Industry414
Finance, Capital Markets, and Risk Management424
Macroeconomic Factors and Stock Returns in Germany425
Application of Classification Methods to the Evaluation of Polish Insurance Companies433
Analytic Hierarchy Process — Applications in Banking441
Tail Dependence in Multivariate Data - Review of Some Problems452
The Stock Market Performance of German Family Firms460
Testing of Warrants Market Efficiency on the Warsaw Stock Exchange — Classical Approach467
Group Opinion Structure: The Ideal Structures, their Relevance, and Effective Use477
Volatility Forecasts and Value at Risk Evaluation for the MSCI North America Index488
Selected Methods of Credibility Theory and its Application to Calculating Insurance Premium in Heterogeneous Insurance Portfolios496
Support Vector Machines for Credit Scoring: Extension to Non Standard Cases504
Discovery of Risk- Return Efficient Structures in Middle- Market Credit Portfolios512
Approximation of Distributions of Treasury Bill Yields and Interbank Rates by Means of a- stable and Hyperbolic Distributions'*'521
Stability of Selected Linear Ranking Methods - An Attempt of Evaluation for the Polish Stock Market529
Production, Logistics, and Controlling539
A Two- Phase Grammar- Based Genetic Algorithm for a Workshop ScheduUng Problem540
Classification and Representation of Suppliers Using Principle Component Analysis549
A Knowledge Based Approach for Holistic Decision Support in Manufacturing Systems557
Intelligent Fashion Interfaces - Questions to New Challenges of Classifying564
Full Factorial Design, Taguchi Design or Genetic Algorithms — Teaching Different Approaches to Design of Experiments572
Medicine and Health Services580
Requirement- Driven Assessment of Restructuring Measures in Hospitals581
Analyzing Protein Data with the Generative Topographic Mapping Approach589
How Can Data from German Cancer Registries Be Used for Research Purposes?597
Probabilistic Record Linkage of Anonymous Cancer Registry Records603
An Empirical Study Evaluating the Organization and Costs of Hospital Management609
Index617