Data Analysis Scientific Modeling and Practical Application

"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., class...

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Bibliographic Details
Other Authors: Gaul, Wolfgang A. (Editor), Opitz, Otto (Editor), Schader, Martin (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2000, 2000
Edition:1st ed. 2000
Series:Studies in Classification, Data Analysis, and Knowledge Organization
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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