Baier / 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
1. Auflage 2006
ISBN: 978-3-540-26981-6
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 616 Seiten

Autoren/Hrsg.

Baier, Daniel

Wernecke, Klaus-Dieter

Inhaltsverzeichnis

1;Preface;6
2;Contents;8
3;Discrimination and Clustering;14
3.1;A New Agglomerative 2- 3 Hierarchical Clustering Algorithm;15
3.2;Symbolic Classifier with Convex Hull Based Dissimilarity Function;23
3.3;Two- Mode Cluster Analysis via Hierarchical Bayes;31
3.4;On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse;42
3.5;Regression Clustering with Redescending M- Estimators;50
3.6;ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results;58
3.7;Stratification Before Discriminant Analysis: A Must?;66
3.8;An Exchange Algorithm for Two- Mode Cluster Analysis;74
3.9;Model- Based Cluster Analysis Applied to Flow Cytometry Data;81
3.10;On Stratification Using Auxiliary Variables and Discriminant Method;89
3.11;Measuring Distances Between Variables by Mutual Information;93
3.12;Pareto Density Estimation: A Density Estimation for Knowledge Discovery;103
4;Probability Models and Statistical Methods;113
4.1;Modelling the Claim Count with Poisson Regression and Negative Binomial Regression;114
4.2;Chemical Balance Weighing Design with Different Variances of Errors;122
4.3;Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data;131
4.4;Robustness of ML Estimators of Location- Scale Mixtures;139
4.5;On the Modification of the David- Hellwig Test;149
4.6;Simultaneous Selection of Variables and Smoothing Parameters in Additive Models;157
4.7;Multiple Change Points and Alternating Segments in Binary Trials with Dependence;165
4.8;Outlier Identification Rules for Generalized Linear Models;176
4.9;Dynamic Clustering with Non- Quadratic Adaptive Distances for Interval- Type Data;184
4.10;Partial Moments and Negative Moments in Ordering Asymmetric Distributions;192
5;Pattern Recognition and Computational Learning;200
5.1;Classification of Method Fragments Using a Reference Meta Model;201
5.2;Finding Metabolic Pathways in Decision Forests;209
5.3;Randomization in Aggregated Classification Trees;217
5.4;Data Mining - The Polish Experience;227
5.5;Extracting Continuous Relevant Features;234
5.6;Individual Rationality Versus Group Rationality in Statistical Modelling Issues;249
5.7;Mining Promising Qualification Patterns;259
6;Time Series Analysis;267
6.1;Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series;268
6.2;Bootstrap Resampling Tests for Quantized Time Series;276
6.3;Imputation Strategies for Missing Data in Environmental Time Series for an Unlucky Situation;284
6.4;Prediction of Notes from Vocal Time Series: An Overview;292
6.5;Parsimonious Segmentation of Time Series by Potts Models;304
7;Marketing, Retailing, and Marketing Research;312
7.1;Application of Discrete Choice Methods in Consumer Preference Analysis;313
7.2;Competition Analysis in Marketing Using Rank Ordered Data;321
7.3;Handling Missing Values in Marketing Research Using SOM;330
7.4;Applicability of Customer Churn Forecasts in a Non- Contractual Setting;338
7.5;A Gravity- Based Multidimensional Unfolding Model for Preference Data;346
7.6;Customer Relationship Management in the Telecommunications and Utilities Markets;354
7.7;Strengths and Weaknesses of Support Vector Machines Within Marketing Data Analysis;363
7.8;Classification of Career- Lifestyle Patterns of Women;371
7.9;Joint Space Model for Multidimensional Scaling of Two- Mode Three- Way Asymmetric Proximities;379
7.10;Structural Model of Product Meaning Using Means- End Approach;387
7.11;The Concept of Chains as a Tool for MSA Contributing to the International Market Segmentation;396
7.12;Statistical Analysis of Innovative Activity;404
7.13;The Prospects of Electronic Commerce: The Case of the Food Industry;414
8;Finance, Capital Markets, and Risk Management;424
8.1;Macroeconomic Factors and Stock Returns in Germany;425
8.2;Application of Classification Methods to the Evaluation of Polish Insurance Companies;433
8.3;Analytic Hierarchy Process — Applications in Banking;441
8.4;Tail Dependence in Multivariate Data - Review of Some Problems;452
8.5;The Stock Market Performance of German Family Firms;460
8.6;Testing of Warrants Market Efficiency on the Warsaw Stock Exchange — Classical Approach;467
8.7;Group Opinion Structure: The Ideal Structures, their Relevance, and Effective Use;477
8.8;Volatility Forecasts and Value at Risk Evaluation for the MSCI North America Index;488
8.9;Selected Methods of Credibility Theory and its Application to Calculating Insurance Premium in Heterogeneous Insurance Portfolios;496
8.10;Support Vector Machines for Credit Scoring: Extension to Non Standard Cases;504
8.11;Discovery of Risk- Return Efficient Structures in Middle- Market Credit Portfolios;512
8.12;Approximation of Distributions of Treasury Bill Yields and Interbank Rates by Means of a- stable and Hyperbolic Distributions'*';521
8.13;Stability of Selected Linear Ranking Methods - An Attempt of Evaluation for the Polish Stock Market;529
9;Production, Logistics, and Controlling;539
9.1;A Two- Phase Grammar- Based Genetic Algorithm for a Workshop ScheduUng Problem;540
9.2;Classification and Representation of Suppliers Using Principle Component Analysis;549
9.3;A Knowledge Based Approach for Holistic Decision Support in Manufacturing Systems;557
9.4;Intelligent Fashion Interfaces - Questions to New Challenges of Classifying;564
9.5;Full Factorial Design, Taguchi Design or Genetic Algorithms — Teaching Different Approaches to Design of Experiments;572
10;Medicine and Health Services;580
10.1;Requirement- Driven Assessment of Restructuring Measures in Hospitals;581
10.2;Analyzing Protein Data with the Generative Topographic Mapping Approach;589
10.3;How Can Data from German Cancer Registries Be Used for Research Purposes?;597
10.4;Probabilistic Record Linkage of Anonymous Cancer Registry Records;603
10.5;An Empirical Study Evaluating the Organization and Costs of Hospital Management;609
11;Index;617