Title | Data Analysis [electronic resource] : Scientific Modeling and Practical Application / edited by Wolfgang Gaul, Otto Opitz, Martin Schader |
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Imprint | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000 |
Connect to | http://dx.doi.org/10.1007/978-3-642-58250-9 |
Descript | XII, 528 p. 17 illus. online resource |
I. Classification -- Clustering Relational Data -- An Iterative Relocation Algorithm for Classifying Symbolic Data -- Automatic Classification with Classifying Automata -- Classification and Clustering of Objects With Variants -- Non-Hierarchical Classification Structures -- Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map -- II. Data Analysis -- Unobserved Heterogeneity in Mean- and Covariance Structure Models -- Average Consensus in Numerical Taxonomy and Some Generalizations -- Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria -- On a Framework for Dissimilarity Analysis -- Least-Squares Ultrametric Tree Representations of Three-Way One-Mode Proximity Data -- From Data Mining to Knowledge Mining: An Introduction to Symbolic Data Analysis -- Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees -- Testing for Antimodes -- A Classification of Bivariate Negative Binomial Distributions -- Robust Forecasting of Parametric Trend of Time Series under โOutliersโ -- Projections Distinguishing Isolated Groups in Multivariate Data Spaces -- Non-Symmetrical Data Analysis Approaches: Recent Developments and Perspectives -- Contiguity Analysis and Classification -- New Results in Cutting Seriation for Approximate #SAT -- Applied Bayesian Data Analysis Using State-Space Models -- Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy -- A Characterization of Ordinal Data -- Generalized Impulse Response Functions for VAR-GARCH-M Models -- A New Geometrical Hypothesis for Partitioning and Discriminant Analysis -- Ultrametrics and p-adic Numbers -- An Algorithm for Positive-Breakdown Regression Based on Concentration Steps -- Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix -- A Geometrical Relational Model for Data Analysis -- Towards a Statistical Theory of Optimal Quantization -- Robust Clustering -- III. Applications -- Bump Hunting for Risk: A New Data Mining Tool -- Clusters of Bibliographic References: A Brief Case Study -- Online Classification of States in Intensive Care -- Frequent Generalized Subsequences โ A Problem From Web Mining -- myVU: A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms -- Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communication -- Synergy in Drug Combinations -- Maximum Likelihood Clustering for Elasticity-Based Market Segmentation -- Statistics and Data Analysis in Market Risk Measurement -- An Asymmetric Cluster Analysis Study of Car Switching Data -- Visualization of Multivariate Data by Scaling and Property Fitting -- Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data -- Selected Publications of Hans-Hermann Bock