Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006

Clustering.- Mixture Models for Classification.- How to Choose the Number of Clusters: The Cramer Multiplicity Solution.- Model Selection Criteria for Model-Based Clustering of Categorical Time Series Data: A Monte Carlo Study.- Cluster Quality Indexes for Symbolic Classification ― An Examination.- Semi-Supervised Clustering: Application to Image Segmentation.- A Method for Analyzing the Asymptotic Behavior of the Walk Process in Restricted Random Walk Cluster Algorithm.- Cluster and Select Approach to Classifier Fusion.- Random Intersection Graphs and Classification.- Optimized Alignment and Visualization of Clustering Results.- Finding Cliques in Directed Weighted Graphs Using Complex Hermitian Adjacency Matrices.- Text Clustering with String Kernels in R.- Automatic Classification of Functional Data with Extremal Information.- Typicality Degrees and Fuzzy Prototypes for Clustering.- On Validation of Hierarchical Clustering.- Classification.- Rearranging Classified Items in Hierarchies Using Categorization Uncertainty.- Localized Linear Discriminant Analysis.- Calibrating Classifier Scores into Probabilities.- Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines.- Deriving Consensus Rankings from Benchmarking Experiments.- Classification of Contradiction Patterns.- Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models.- Data and Time Series Analysis.- Simultaneous Selection of Variables and Smoothing Parameters in Geoadditive Regression Models.- Modelling and Analysing Interval Data.- Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models.- Happy Birthday to You, Mr. Wilcoxon!.- Equivalent Number of Degrees of Freedom for Neural Networks.- Model Choice for Panel Spatial Models: Crime Modeling in Japan.- A Boosting Approach to Generalized Monotonic Regression.- From Eigenspots to Fisherspots ― Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background.- Identifying and Exploiting Ultrametricity.- Factor Analysis for Extraction of Structural Components and Prediction in Time Series.- Classification of the U.S. Business Cycle by Dynamic Linear Discriminant Analysis.- Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities.- Visualization and Scaling Methods.- VOS: A New Method for Visualizing Similarities Between Objects.- Multidimensional Scaling of Asymmetric Proximities with a Dominance Point.- Single Cluster Visualization to Optimize Air Traffic Management.- Rescaling Proximity Matrix Using Entropy Analyzed by INDSCAL.- Information Retrieval, Data and Web Mining.- Canonical Forms for Frequent Graph Mining.- Applying Clickstream Data Mining to Real-Time Web Crawler Detection and Containment Using ClickTips Platform.- Plagiarism Detection Without Reference Collections.- Putting Successor Variety Stemming to Work.- Collaborative Filtering Based on User Trends.- Investigating Unstructured Texts with Latent Semantic Analysis.- Marketing, Management Science and Economics.- Heterogeneity in Preferences for Odd Prices.- Classification of Reference Models.- Adaptive Conjoint Analysis for Pricing Music Downloads.- Improving the Probabilistic Modeling of Market Basket Data.- Classification in Marketing Research by Means of LEM2-generated Rules.- Pricing Energy in a Multi-Utility Market.- Disproportionate Samples in Hierarchical Bayes CBC Analysis.- Building on the Arules Infrastructure for Analyzing Transaction Data with R.- Balanced Scorecard Simulator ― A Tool for Stochastic Business Figures.- Integration of Customer Value into Revenue Management.- Women’s Occupational Mobility and Segregation in the Labour Market: Asymmetric Multidimensional Scaling.- Multilevel Dimensions of Consumer Relationships in the Healthcare Service Market M-L IRT vs. M-L SEM Approach.- Data Mining in Higher Education.- Attribute Aware Anonymous Recommender Systems.- Banking and Finance.- On the Notions and Properties of Risk and Risk Aversion in the Time Optimal Approach to Decision Making.- A Model of Rational Choice Among Distributions of Goal Reaching Times.- On Goal Reaching Time Distributions Estimated from DAX Stock Index Investments.- Credit Risk of Collaterals: Examining the Systematic Linkage between Insolvencies and Physical Assets in Germany.- Foreign Exchange Trading with Support Vector Machines.- The Influence of Specific Information on the Credit Risk Level.- Bio- and Health Sciences.- Enhancing Bluejay with Scalability, Genome Comparison and Microarray Visualization.- Discovering Biomarkers for Myocardial Infarction from SELDI-TOF Spectra.- Joint Analysis of In-situ Hybridization and Gene Expression Data.- Unsupervised Decision Trees Structured by Gene Ontology (GO-UDTs) for the Interpretation of Microarray Data.- Linguistics and Text Analysis.- Clustering of Polysemic Words.- Classifying German Questions According to Ontology-Based Answer Types.- The Relationship of Word Length and Sentence Length: The Inter-Textual Perspective.- Comparing the Stability of Different Clustering Results of Dialect Data.- Part-of-Speech Discovery by Clustering Contextual Features.- Statistical Musicology and Sound Classification.- A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition.- Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound.- Vowel Classification by a Neurophysiologically Parameterized Auditory Model.- Archaeology.- Uncovering the Internal Structure of the Roman Brick and Tile Making in Frankfurt-Nied by Cluster Validation.- Where Did I See You Before... A Holistic Method to Compare and Find Archaeological Artifacts.