The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant 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.
Author(s): Daniel Baier, Klaus-Dieter Wernecke (Editors)
Edition: 1
Year: 2004
Language: English
Pages: 616
3540232214......Page 1
Contents......Page 8
Part I. Discrimination and Clustering......Page 14
A New Agglomerative 2-3 Hierarchical Clustering Algorithm......Page 15
Symbolic Classifier with Convex Hull Based Dissimilarity Function......Page 23
Two-Mode Cluster Analysis via Hierarchical Bayes......Page 31
On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse......Page 42
Regression Clustering with Redescending M-Estimators......Page 50
ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results......Page 58
Stratification Before Discriminant Analysis: A Must?......Page 66
An Exchange Algorithm for Two-Mode Cluster Analysis......Page 74
Model-Based Cluster Analysis Applied to Flow Cytometry Data......Page 81
On Stratification Using Auxiliary Variables and Discriminant Method......Page 89
Measuring Distances Between Variables by Mutual Information......Page 93
Pareto Density Estimation: A Density Estimation for Knowledge Discovery......Page 103
Part II. Probability Models and Statistical Methods......Page 113
Modelling the Claim Count with Poisson Regression and Negative Binomial Regression......Page 114
Chemical Balance Weighing Design with Different Variances of Errors......Page 122
Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data......Page 131
Robustness of ML Estimators of Location-Scale Mixtures......Page 139
On the Modification of the David-Hellwig Test......Page 149
Simultaneous Selection of Variables and Smoothing Parameters in Additive Models......Page 157
Multiple Change Points and Alternating Segments in Binary Trials with Dependence......Page 165
Outlier Identification Rules for Generalized Linear Models......Page 176
Dynamic Clustering with Non-Quadratic Adaptive Distances for Interval-Type Data......Page 184
Partial Moments and Negative Moments in Ordering Asymmetric Distributions......Page 192
Part III. Pattern Recognition and Computational Learning......Page 200
Classification of Method Fragments Using a Reference Meta Model......Page 201
Finding Metabolic Pathways in Decision Forests......Page 209
Randomization in Aggregated Classification Trees......Page 217
Data Mining – The Polish Experience......Page 227
Extracting Continuous Relevant Features......Page 234
Individual Rationality Versus Group Rationality in Statistical Modelling Issues......Page 249
Mining Promising Qualification Patterns......Page 259
Part IV. Time Series Analysis......Page 267
Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series......Page 268
Bootstrap Resampling Tests for Quantized Time Series......Page 276
Imputation Strategies for Missing Data in Environmental Time Series for an Unlucky Situation......Page 284
Prediction of Notes from Vocal Time Series: An Overview......Page 292
Parsimonious Segmentation of Time Series by Potts Models......Page 304
Part V. Marketing, Retailing, and Marketing Research......Page 312
Application of Discrete Choice Methods in Consumer Preference Analysis......Page 313
Competition Analysis in Marketing Using Rank Ordered Data......Page 321
Handling Missing Values in Marketing Research Using SOM......Page 330
Applicability of Customer Churn Forecasts in a Non-Contractual Setting......Page 338
A Gravity-Based Multidimensional Unfolding Model for Preference Data......Page 346
Customer Relationship Management in the Telecommunications and Utilities Markets......Page 354
Strengths and Weaknesses of Support Vector Machines Within Marketing Data Analysis......Page 363
Classification of Career-Lifestyle Patterns of Women......Page 371
Joint Space Model for Multidimensional Scaling of Two-Mode Three-Way Asymmetric Proximities......Page 379
Structural Model of Product Meaning Using Means-End Approach......Page 387
The Concept of Chains as a Tool for MSA Contributing to the International Market Segmentation......Page 396
Statistical Analysis of Innovative Activity......Page 404
The Prospects of Electronic Commerce: The Case of the Food Industry......Page 414
Part VI. Finance, Capital Markets, and Risk Management......Page 424
Macroeconomic Factors and Stock Returns in Germany......Page 425
Application of Classification Methods to the Evaluation of Polish Insurance Companies......Page 433
Analytic Hierarchy Process – Applications in Banking......Page 441
Tail Dependence in Multivariate Data – Review of Some Problems......Page 452
The Stock Market Performance of German Family Firms......Page 460
Testing of Warrants Market Efficiency on the Warsaw Stock Exchange – Classical Approach......Page 467
Group Opinion Structure: The Ideal Structures, their Relevance, and Effective Use......Page 477
Volatility Forecasts and Value at Risk Evaluation for the MSCI North America Index......Page 488
Selected Methods of Credibility Theory and its Application to Calculating Insurance Premium in Heterogeneous Insurance Portfolios......Page 496
Support Vector Machines for Credit Scoring: Extension to Non Standard Cases......Page 504
Discovery of Risk-Return Efficient Structures in Middle-Market Credit Portfolios......Page 512
Approximation of Distributions of Treasury Bill Yields and Interbank Rates by Means of α-stable and Hyperbolic Distributions......Page 521
Stability of Selected Linear Ranking Methods – An Attempt of Evaluation for the Polish Stock Market......Page 529
Part VII. Production, Logistics, and Controlling......Page 539
A Two-Phase Grammar-Based Genetic Algorithm for a Workshop Scheduling Problem......Page 540
Classification and Representation of Suppliers Using Principle Component Analysis......Page 549
A Knowledge Based Approach for Holistic Decision Support in Manufacturing Systems......Page 557
Intelligent Fashion Interfaces – Questions to New Challenges of Classifying......Page 564
Full Factorial Design, Taguchi Design or Genetic Algorithms – Teaching Different Approaches to Design of Experiments......Page 572
Part VIII. Medicine and Health Services......Page 580
Requirement-Driven Assessment of Restructuring Measures in Hospitals......Page 581
Analyzing Protein Data with the Generative Topographic Mapping Approach......Page 589
How Can Data from German Cancer Registries Be Used for Research Purposes?......Page 597
Probabilistic Record Linkage of Anonymous Cancer Registry Records......Page 603
An Empirical Study Evaluating the Organization and Costs of Hospital Management......Page 609
D......Page 617
L......Page 618
R......Page 619
W......Page 620
