Data Analysis

Scientific Modeling and Practical Application

AvWolfgang A. Gaul,Otto Opitz

Häftad, Engelska, 2000

Del i serien Studies in Classification, Data Analysis, and Knowledge Organization

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Beskrivning

Data Analysis

Produktinformation

Utgivningsdatum:2000-08-09
Mått:155 x 235 x 30 mm
Vikt:814 g
Format:Häftad
Språk:Engelska
Serie:Studies in Classification, Data Analysis, and Knowledge Organization
Antal sidor:528
Upplaga:2000
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Medarbetare:R.R. Sokal
ISBN:9783540677314

Utforska kategorier

Innehållsförteckning

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 “Outliers”.- 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.- UnidimensionalStructure 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 — 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.