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Challenges at the Interface of Data Analysis, Computer Science, and Optimization

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Table of Contents

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    Book Overview
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    Chapter 1 Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms
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    Chapter 2 An EM Algorithm for the Student- t Cluster-Weighted Modeling
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    Chapter 3 Analysis of Distribution Valued Dissimilarity Data
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    Chapter 4 An Overall Index for Comparing Hierarchical Clusterings
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    Chapter 5 An Accelerated K -Means Algorithm Based on Adaptive Distances
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    Chapter 6 Bias-Variance Analysis of Local Classification Methods
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    Chapter 7 Effect of Data Standardization on the Result of k -Means Clustering
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    Chapter 8 A Case Study on the Use of Statistical Classification Methods in Particle Physics
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    Chapter 9 Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets
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    Chapter 10 Reduced Versus Complete Space Configurations in Total Information Analysis
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    Chapter 11 A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data
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    Chapter 12 Quantification Theory: Reminiscence and a Step Forward
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    Chapter 13 Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary Data
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    Chapter 14 Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional Scaling
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    Chapter 15 Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value Decomposition
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    Chapter 16 Visualization of Asymmetric Clustering Result with Digraph and Dendrogram
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    Chapter 17 Clustering Temporal Population Patterns in Switzerland (1850–2000)
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    Chapter 18 p -adic Methods in Stereo Vision
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    Chapter 19 Individualized Error Estimation for Classification and Regression Models
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    Chapter 20 Evaluation of Spatial Cluster Detection Algorithms for Crime Locations
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    Chapter 21 Checking Serial Independence of Residuals from a Nonlinear Model
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    Chapter 22 Analysis of Network Data Based on Probability Neighborhood Cliques
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    Chapter 23 A Comparison of Agglomerative Hierarchical Algorithms for Modularity Clustering
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    Chapter 24 Network Data as Contiguity Constraints in Modeling Preference Data
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    Chapter 25 Clustering Coefficients of Random Intersection Graphs
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    Chapter 26 Immersive Dynamic Visualization of Interactions in a Social Network
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    Chapter 27 Fuzzy Boolean Network Reconstruction
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    Chapter 28 GIRAN: A Dynamic Graph Interface to Neighborhoods of Related Articles
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    Chapter 29 Power Tags as Tools for Social Knowledge Organization Systems
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    Chapter 30 The Degree Distribution in Random Intersection Graphs
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    Chapter 31 Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter
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    Chapter 32 Measuring the Influence of Network Structures on Social Interaction over Time
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    Chapter 33 Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis
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    Chapter 34 Calculating a Distributional Similarity Kernel using the Nyström Extension
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    Chapter 35 Text Categorization in R: A Reduced N-Gram Approach
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    Chapter 36 HOMALS for Dimension Reduction in Information Retrieval
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    Chapter 37 Feature Reduction and Nearest Neighbours
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    Chapter 38 Musical Instrument Recognition by High-Level Features
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    Chapter 39 The Recognition of Consonance Is not Impaired by Intonation Deviations: A Revised Theory
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    Chapter 40 Applying Multiple Kernel Learning to Automatic Genre Classification
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    Chapter 41 Multi-Objective Evaluation of Music Classification
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    Chapter 42 Partition Based Feature Processing for Improved Music Classification
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    Chapter 43 Software in Music Information Retrieval
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    Chapter 44 Conditional Factor Models for European Banks
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    Chapter 45 Classification of Large Imbalanced Credit Client Data with Cluster Based SVM
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    Chapter 46 Fault Mining Using Peer Group Analysis
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    Chapter 47 Discovering Possible Patterns Associations Among Drug Prescriptions
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    Chapter 48 Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer
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    Chapter 49 Image Clustering for Marketing Purposes
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    Chapter 50 PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis
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    Chapter 51 Love and Loyalty in Car Brands: Segmentation Using Finite Mixture Partial Least Squares
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    Chapter 52 Endogeneity and Exogeneity in Sales Response Functions
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    Chapter 53 Lead User Identification in Conjoint Analysis Based Product Design
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    Chapter 54 Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps
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    Chapter 55 The Impact of Missing Values on PLS Model Fitting
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    Chapter 56 Teachers’ Typology of Student Categories: A Cluster Analytic Study
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    Chapter 57 ECTS Grades: Combination of Norm- and Criterion-Referenced Grading
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    Chapter 58 Students Reading Motivation: A Multilevel Mixture Factor Analysis
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    Chapter 59 Short Term Dynamics of Tourist Arrivals: What Do Italian Destinations Have in Common?
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    Chapter 60 A Measure of Polarization for Tourism: Evidence from Italian Destinations
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Citations

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Readers on

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314 Mendeley
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Title
Challenges at the Interface of Data Analysis, Computer Science, and Optimization
Published by
Springer Berlin Heidelberg, February 2012
DOI 10.1007/978-3-642-24466-7
ISBNs
978-3-64-224465-0, 978-3-64-224466-7
Editors

Gaul, Wolfgang A., Geyer-Schulz, Andreas, Schmidt-Thieme, Lars, Kunze, Jonas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 7 2%
Germany 2 <1%
Spain 2 <1%
United States 2 <1%
Brazil 2 <1%
Portugal 1 <1%
India 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Other 4 1%
Unknown 291 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 111 35%
Student > Master 44 14%
Student > Doctoral Student 32 10%
Researcher 22 7%
Professor 17 5%
Other 69 22%
Unknown 19 6%
Readers by discipline Count As %
Business, Management and Accounting 125 40%
Social Sciences 45 14%
Computer Science 38 12%
Engineering 15 5%
Psychology 14 4%
Other 55 18%
Unknown 22 7%