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Exploratory Data Analysis in Empirical Research

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Cover of 'Exploratory Data Analysis in Empirical Research'

Table of Contents

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    Book Overview
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    Chapter 1 Sliced Inverse Regression for High-dimensional Time Series
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    Chapter 2 Symbolic Clustering of Constrained Probabilistic Data
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    Chapter 3 On Memory Requirement with Normal Symbolic Form
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    Chapter 4 On the Roles of Galois Connections in Classification
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    Chapter 5 Mining Sets of Time Series: Description of Time Points
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    Chapter 6 Spatial Smoothing with Robust Priors in Functional MRI
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    Chapter 7 Clustering in the Presence of Outliers
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    Chapter 8 Two Models of Random Intersection Graphs for Classification
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    Chapter 9 Classification Techniques based on Methods of Computational Intelligence
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    Chapter 10 Constrained Correspondence Analysis for Seriation in Archaeology Applied to Sagalassos Ceramic Tablewares
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    Chapter 11 The Moment Preservation Method of Cluster Analysis
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    Chapter 12 On The General Distance Measure
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    Chapter 13 Tests for One-dimensional Nearest Neighbors Clusters
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    Chapter 14 Integration of Cluster Analysis and Visualization Techniques for Visual Data Analysis
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    Chapter 15 Bayesian Space-time Analysis of Health Insurance Data
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    Chapter 16 On Clustering by Mixture Models
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    Chapter 17 Using Additive Conjoint Measurement Analysis of Social Network Data
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    Chapter 18 Bayesian Latent Class Metric Conjoint Analysis — A Case Study from the Austrian Mineral Water Market
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    Chapter 19 Diagnostics in Multivariate Data Analysis: Sensitivity Analysis for Principal Components and Canonical Correlations
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    Chapter 20 Classification of Natural Languages by Word Ordering Rule
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    Chapter 21 Combining Mental Fit and Data Fit for Classification Rule Selection
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    Chapter 22 Bayesian Analysis of Econometric Models for Count Data: A Survey
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    Chapter 23 k-Means Clustering with Outlier Detection, Mixed Variables and Missing Values
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    Chapter 24 Repeat-buying Theory and its Application for Recommender Services
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    Chapter 25 Joker — Visualization of an Object Model for a Cost Accounting Educational Software
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    Chapter 26 Data Preparation in Large Real-World Data Mining Projects: Methods for Imputing Missing Values
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    Chapter 27 Clustering of Document Collections to Support Interactive Text Exploration
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    Chapter 28 Web Usage Mining — Languages and Algorithms
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    Chapter 29 Thesaurus Migration in Practice
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    Chapter 30 Relational Clustering for the Analysis of Internet Newsgroups
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    Chapter 31 The Theory of On-line Learning — A Statistical Physics Approach
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    Chapter 32 A Framework for Web Usage Mining on Anonymous Logfile Data
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    Chapter 33 Knee Replacement Surgery and Learning Effects — Data Evidence from a German Hospital
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    Chapter 34 Self-Organizing Maps and its Applications in Sleep Apnea Research and Molecular Genetics
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    Chapter 35 Automated Classification of Optic Nerve Head Topography Images for Glaucoma Screening
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    Chapter 36 Comparing Split Criteria for Constructing Survival Trees
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    Chapter 37 A Type of Bayesian Small Area Estimation for the Analysis of Cancer Mortality Data
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    Chapter 38 DEA-Benchmarks for Austrian Physicians
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    Chapter 39 Data Mining Tools for Quality Management in Health Care
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    Chapter 40 The Effects of Simultaneous Misclassification on the Attributable Risk
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    Chapter 41 Statistical Genetics — Present and Future
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    Chapter 42 Market Simulation Using Bayesian Procedures in Conjoint Analysis
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    Chapter 43 Value Based Benchmarking and Market Partitioning
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    Chapter 44 Optimization of Corporate Reorganization Portfolios based on a Genetic Algorithm
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    Chapter 45 Key Success Factors in City Marketing — Some Empirical Evidence
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    Chapter 46 From Credit Scores to Stable Default Probabilities: A Model Based Approach
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    Chapter 47 Dimensions of Credit Risk
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    Chapter 48 Cognitive Organization of Person Attributes: Measurement Procedures and Statistical Models
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    Chapter 49 Manufacturing Branches in Poland — A Classification Attempt
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    Chapter 50 Market-Segments of Automotive Brands: Letting Multivariate Analyses Reveal Additional Insights
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    Chapter 51 Sequence Mining in Marketing
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    Chapter 52 Portfolio Management Using Multivariate Time Series Forecasts
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    Chapter 53 Value-at-Risk for Financial Assets Determined by Moment Estimators of the Tail Index
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