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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
Overall attention for this book and its chapters
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Title
Exploratory Data Analysis in Empirical Research
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-55721-7
ISBNs
978-3-54-044183-0, 978-3-64-255721-7
Editors

Schwaiger, Manfred, Opitz, Otto

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Other 1 8%
Professor 1 8%
Unspecified 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 4 33%
Unspecified 1 8%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Decision Sciences 1 8%
Other 2 17%
Unknown 2 17%