Gaul A., Geyer-Schulz A., Schmidt-Thieme L., Kunze J. (eds.) Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Springer, 2012. — 613 pp.Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010.
Revised versions of selected papers presented at the 34th Annual Conference of the German Classification Society (GfKl (Gesellschaft für Klassifikation), a member of IFCS (International Federation of Classification Societies)), held at KIT (Karlsruhe Institute of Technology) in July 2010, are contained in this volume of Studies in Classification, Data Analysis, and Knowledge Organization.
One aim of the conference was to provide a platform for discussions on results concerning the interface that data analysis has in common with other areas such as, e.g., computer science, operations research, and statistics from a scientific perspective, as well as with various application areas when best interpretations of data that describe underlying problem situations need knowledge from different research directions.
Practitioners and researchers – interested in data analysis in the broad sense – had the opportunity to discuss recent developments and to establish cross-disciplinary cooperation in their fields of interest. More than 200 persons attended the conference, 158 talks (including plenary and semiplenary lectures) were presented. The audience of the conference was quite international with about 90 contributions from participants from abroad with the largest groups of foreign presenters from Italy, Japan, and Poland. Additionally, a program for librarians (14 presentations) was organized. Parallel to the conference a German-Japanese workshop sponsored by GfKl and JCS (Japanese Classification Society) took place with additional 24 talks. Sixty of the papers presented at the conference are contained in this volume (The contributions given at the German-Japanese workshop will be published elsewhere.). As an unambiguous assignment of topics addressed in single papers is sometimes difficult the contributions are grouped in a way that the editors found appropriate. Within (sub)chapters the presentations are listed in alphabetical order with respect to the authors’ names. At the end of this volume an index is included that, additionally, should help the interested reader.
Last but not least, we would like to thank all participants of the conference for their interest and various activities which, again, made the 34th annual GfKl conference and this volume an interdisciplinary possibility for scientific discussion, in particular all authors and all colleagues who reviewed papers, chaired sessions or were otherwise involved. Here, the teams of Prof. Gaul, Prof. Geyer-Schulz, and Prof. Schmidt-Thieme have provided support in a way that outside persons cannot fully appreciate. Additionally, we gratefully take the opportunity to acknowledge support by Deutsche Forschungsgemeinschaft (DFG) as well as the Fakultӓt für Wirtschaftswissenschaften of KIT.
This volume was put together at Lehrstuhl Information Services & Electronic Markets, and, at least, Jonas Kunze should be explicitly mentioned for the final editing tasks. As always we thank Springer Verlag, Heidelberg, especially Dr. Martina Bihn, for excellent cooperation in publishing this volume.Part I Classification, Cluster Analysis, and Multidimensional Scaling
Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms
An EM Algorithm for the Student-t Cluster-Weighted Modeling
Analysis of Distribution Valued Dissimilarity Data
An Overall Index for Comparing Hierarchical Clusterings
An Accelerated K-Means Algorithm Based on Adaptive Distances
Bias-Variance Analysis of Local Classification Methods
Effect of Data Standardization on the Result of k-Means Clustering
A Case Study on the Use of Statistical Classification Methods in Particle Physics
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets
Part II Quantification Theory
Reduced Versus Complete Space Configurations in Total Information Analysis
A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data
Quantification Theory: Reminiscence and a Step Forward
Part III Analysis of m-Mode n-Way and Asymmetric Data
Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary Data
Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional Scaling
Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value Decomposition
Visualization of Asymmetric Clustering Result with Digraph and Dendrogram
Part IV Analysis of Visual, Spatial, and Temporal Data
Clustering Temporal Population Patterns in Switzerland (1850–2000)
p-adic Methods in Stereo Vision
Individualized Error Estimation for Classification and RegressionModels
Evaluation of Spatial Cluster Detection Algorithms for Crime Locations
Checking Serial Independence of Residuals from a Nonlinear Model
Part V Network Data, Graphs, and Social Relationships
Analysis of Network Data Based on Probability Neighborhood Cliques
A Comparison of Agglomerative Hierarchical Algorithms for Modularity Clustering
Network Data as Contiguity Constraints in Modeling Preference Data
Clustering Coefficients of Random Intersection Graphs
Immersive Dynamic Visualization of Interactions in a Social Network
Fuzzy Boolean Network Reconstruction
GIRAN: A Dynamic Graph Interface to Neighborhoods of Related Articles
Power Tags as Tools for Social Knowledge Organization Systems
The Degree Distribution in Random Intersection Graphs
Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter
Measuring the Influence of Network Structures on Social Interaction over Time
Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern Analysis
Part VI Text Mining
Calculating a Distributional Similarity Kernel using the Nystrӧm Extension
Text Categorization in R: A Reduced N-Gram Approach
Part VII Dimension Reduction
HOMALS for Dimension Reduction in Information Retrieval
Feature Reduction and Nearest Neighbours
Part VIII Statistical Musicology
Musical Instrument Recognition by High-Level Features
The Recognition of Consonance Is not Impaired by Intonation Deviations: A Revised Theory
Applying Multiple Kernel Learning to Automatic Genre Classification
Multi-Objective Evaluation of Music Classification
Partition Based Feature Processing for Improved Music Classification
Software in Music Information Retrieval
Part IX Data Analysis in Banking and Finance
Conditional Factor Models for European Banks
Classification of Large Imbalanced Credit Client Data with Cluster Based SVM
Fault Mining Using Peer Group Analysis
Part X Data Analysis in Health and Environment
Discovering Possible Patterns Associations Among Drug Prescriptions
Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer
Part XI Analysis of Marketing, Conjoint, and Multigroup Data
Image Clustering for Marketing Purposes
PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group Analysis
Love and Loyalty in Car Brands: Segmentation Using Finite Mixture Partial Least Squares
Endogeneity and Exogeneity in Sales Response Functions
Lead User Identification in Conjoint Analysis Based Product Design
Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps
The Impact of Missing Values on PLS Model Fitting
Part XII Data Analysis in Education and Psychology
Teachers’ Typology of Student Categories: A Cluster Analytic Study
ECTS Grades: Combination of Norm- and Criterion-Referenced Grading
Students Reading Motivation: A Multilevel Mixture Factor Analysis
Part XIII Analysis of Tourism Data
Short Term Dynamics of Tourist Arrivals: What Do Italian Destinations Have in Common?
A Measure of Polarization for Tourism: Evidence from Italian Destinations