Innovations in Classification, Data Science, and Information Systems 2003

ISBN 10: 3540232214 / ISBN 13: 9783540232216

Editore: Springer-Verlag GmbH, 2004

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Innovations in Classification, Data Science, and Information Systems 2003 In deutscher Sprache. pages.

Codice articolo BN188976

Dati bibliografici

• Titolo: Innovations in Classification, Data Science, and Information Systems 2003
• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 3540232214
• ISBN 13: 9783540232216
• Rilegatura: Softcover
• Edizione: 2004.
• Condizione: gut
• Peso: 2000 grammi

Descrizione articolo

Riassunto

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.

Contenuti

Discrimination and Clustering.- A New Agglomerative 2–3 Hierarchical Clustering Algorithm.- Symbolic Classifier with Convex Hull Based Dissimilarity Function.- Two-Mode Cluster Analysis via Hierarchical Bayes.- On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse.- Regression Clustering with Redescending M-Estimators.- ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results.- Stratification Before Discriminant Analysis: A Must?.- An Exchange Algorithm for Two-Mode Cluster Analysis.- Model-Based Cluster Analysis Applied to Flow Cytometry Data.- On Stratification Using Auxiliary Variables and Discriminant Method.- Measuring Distances Between Variables by Mutual Information.- Pareto Density Estimation: A Density Estimation for Knowledge Discovery.- Probability Models and Statistical Methods.- Modelling the Claim Count with Poisson Regression and Negative Binomial Regression.- Chemical Balance Weighing Design with Different Variances of Errors.- Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data.- Robustness of ML Estimators of Location-Scale Mixtures.- On the Modification of the David-Hellwig Test.- Simultaneous Selection of Variables and Smoothing Parameters in Additive Models.- Multiple Change Points and Alternating Segments in Binary Trials with Dependence.- Outlier Identification Rules for Generalized Linear Models.- Dynamic Clustering with Non-Quadratic Adaptive Distances for Interval-Type Data.- Partial Moments and Negative Moments in Ordering Asymmetric Distributions.- Pattern Recognition and Computational Learning.- Classification of Method Fragments Using a Reference Meta Model.- Finding Metabolic Pathways in Decision Forests.- Randomization in Aggregated Classification Trees.- Data Mining ― The Polish Experience.- Extracting Continuous Relevant Features.- Individual Rationality Versus Group Rationality in Statistical Modelling Issues.- Mining Promising Qualification Patterns.- Time Series Analysis.- Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series.- Bootstrap Resampling Tests for Quantized Time Series.- Imputation Strategies for Missing Data in Environmental Time Series for an Unlucky Situation.- Prediction of Notes from Vocal Time Series: An Overview.- Parsimonious Segmentation of Time Series by Potts Models.- Marketing, Retailing, and Marketing Research.- Application of Discrete Choice Methods in Consumer Preference Analysis.- Competition Analysis in Marketing Using Rank Ordered Data.- Handling Missing Values in Marketing Research Using SOM.- Applicability of Customer Churn Forecasts in a Non-Contractual Setting.- A Gravity-Based Multidimensional Unfolding Model for Preference Data.- Customer Relationship Management in the Telecommunications and Utilities Markets.- Strengths and Weaknesses of Support Vector Machines Within Marketing Data Analysis.- Classification of Career-Lifestyle Patterns of Women.- Joint Space Model for Multidimensional Scaling of Two-Mode Three-Way Asymmetric Proximities.- Structural Model of Product Meaning Using Means-End Approach.- The Concept of Chains as a Tool for MSA Contributing to the International Market Segmentation.- Statistical Analysis of Innovative Activity.- The Prospects of Electronic Commerce: The Case of the Food Industry.- Finance, Capital Markets, and Risk Management.- Macroeconomic Factors and Stock Returns in Germany.- Application of Classification Methods to the Evaluation of Polish Insurance Companies.- Analytic Hierarchy Process ― Applications in Banking.- Tail Dependence in Multivariate Data ― Review of Some Problems.- The Stock Market Performance of German Family Firms.- Testing of Warrants Market Efficiency on the Warsaw Stock Exchange ― Classical Approach.- Group Opinion Structure: The Ideal Structures, their Relevance, and Effective Use.- Volatility Forecasts and Value at Risk Evaluation for the MSCI North America Index.- Selected Methods of Credibility Theory and its Application to Calculating Insurance Premium in Heterogeneous Insurance Portfolios.- Support Vector Machines for Credit Scoring: Extension to Non Standard Cases.- Discovery of Risk-Return Efficient Structures in Middle-Market Credit Portfolios.- Approximation of Distributions of Treasury Bill Yields and Interbank Rates by Means of ?-stable and Hyperbolic Distributions.- Stability of Selected Linear Ranking Methods ― An Attempt of Evaluation for the Polish Stock Market.- Production, Logistics, and Controlling.- A Two-Phase Grammar-Based Genetic Algorithm for a Workshop Scheduling Problem.- Classification and Representation of Suppliers Using Principle Component Analysis.- A Knowledge Based Approach for Holistic Decision Support in Manufacturing Systems.- Intelligent Fashion Interfaces ― Questions to New Challenges of Classifying.- Full Factorial Design, Taguchi Design or Genetic Algorithms ― Teaching Different Approaches to Design of Experiments.- Medicine and Health Services.- Requirement-Driven Assessment of Restructuring Measures in Hospitals.- Analyzing Protein Data with the Generative Topographic Mapping Approach.- How Can Data from German Cancer Registries Be Used for Research Purposes?.- Probabilistic Record Linkage of Anonymous Cancer Registry Records.- An Empirical Study Evaluating the Organization and Costs of Hospital Management.