Data Analysis : Scientific Modeling and Practical Application

Table of Contents

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   Book Overview
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   Chapter 1 Clustering Relational Data
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   Chapter 2 An Iterative Relocation Algorithm for Classifying Symbolic Data
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   Chapter 3 Automatic Classification with Classifying Automata
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   Chapter 4 Classification and Clustering of Objects With Variants
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   Chapter 5 Non-Hierarchical Classification Structures
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   Chapter 6 Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map: Application to Geophysics
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   Chapter 7 Unobserved Heterogeneity in Mean- and Covariance Structure Models
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   Chapter 8 Average Consensus in Numerical Taxonomy and Some Generalizations
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    Chapter 9 Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria
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    Chapter 10 On a Framework for Dissimilarity Analysis
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    Chapter 11 Least-Squares Ultrametric Tree Representations of Three- Way One-Mode Proximity Data
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    Chapter 12 From Data Mining to Knowledge Mining: An Introduction to Symbolic Data Analysis
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    Chapter 13 Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees
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    Chapter 14 Testing for Antimodes
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    Chapter 15 A Classification of Bivariate Negative Binomial Distributions
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    Chapter 16 Robust Forecasting of Parametric Trend of Time Series under “Outliers”
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    Chapter 17 Projections Distinguishing Isolated Groups in Multivariate Data Spaces
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    Chapter 18 Non-Symmetrical Data Analysis Approaches: Recent Developments and Perspectives
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    Chapter 19 Contiguity Analysis and Classification
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    Chapter 20 New Results in Cutting Seriation for Approximate #SAT
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    Chapter 21 Applied Bayesian Data Analysis Using State-Space Models
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    Chapter 22 Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy
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    Chapter 23 A Characterization of Ordinal Data
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    Chapter 24 Generalized Impulse Response Functions for VAR-GARCH-M Models
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    Chapter 25 A New Geometrical Hypothesis for Partitioning and Discriminant Analysis
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    Chapter 26 Ultrametrics and p -adic Numbers
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    Chapter 27 An Algorithm for Positive-Breakdown Regression Based on Concentration Steps
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    Chapter 28 Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix
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    Chapter 29 A Geometrical Relational Model for Data Analysis
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    Chapter 30 Towards a Statistical Theory of Optimal Quantization
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    Chapter 31 Robust Clustering
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    Chapter 32 Bump Hunting for Risk: A New Data Mining Tool
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    Chapter 33 Clusters of Bibliographic References: A Brief Case Study
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    Chapter 34 Online Classification of States in Intensive Care
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    Chapter 35 Frequent Generalized Subsequences — A Problem From Web Mining
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    Chapter 36 myVU: A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms
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    Chapter 37 Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communications
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    Chapter 38 Synergy in Drug Combinations
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    Chapter 39 Maximum Likelihood Clustering for Elasticity-Based Market Segmentation
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    Chapter 40 Statistics and Data Analysis in Market Risk Measurement
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    Chapter 41 An Asymmetric Cluster Analysis Study of Car Switching Data
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    Chapter 42 Visualization of Multivariate Data by Scaling and Property Fitting
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    Chapter 43 Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data