Decker / Lenz Advances in Data Analysis

Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006
1. Auflage 2007
ISBN: 978-3-540-70981-7
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 687 Seiten

Autoren/Hrsg.

Decker, Reinhold

Lenz, Hans-Joachim

Inhaltsverzeichnis

1;Preface;6
2;Contents;9
3;Clustering;17
3.1;Mixture Models for Classification;18
3.2;How to Choose the Number of Clusters: The Cramer Multiplicity Solution;30
3.3;Model Selection Criteria for Model-Based Clustering of Categorical Time Series Data: A Monte Carlo Study;38
3.4;Cluster Quality Indexes for Symbolic Classification – An Examination;46
3.5;Semi-Supervised Clustering: Application to Image Segmentation;54
3.6;A Method for Analyzing the Asymptotic Behavior of the Walk Process in Restricted Random Walk Cluster Algorithm;66
3.7;Cluster and Select Approach to Classifier Fusion;74
3.8;Random Intersection Graphs and Classification;82
3.9;Optimized Alignment and Visualization of Clustering Results;90
3.10;Finding Cliques in Directed Weighted Graphs Using Complex Hermitian Adjacency Matrices;98
3.11;Text Clustering with String Kernels in R;106
3.12;Automatic Classification of Functional Data with Extremal Information;114
3.13;Typicality Degrees and Fuzzy Prototypes for Clustering;122
3.14;On Validation of Hierarchical Clustering;130
4;Classification;138
4.1;Rearranging Classified Items in Hierarchies Using Categorization Uncertainty;139
4.2;Localized Linear Discriminant Analysis;147
4.3;Calibrating Classifier Scores into Probabilities;155
4.4;Nonlinear Support Vector Machines Through Iterative Majorization and I- Splines;163
4.5;Deriving Consensus Rankings from Benchmarking Experiments;176
4.6;Classification of Contradiction Patterns;184
4.7;Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models;192
5;Data and Time Series Analysis;200
5.1;Simultaneous Selection of Variables and Smoothing Parameters in Geoadditive Regression Models;201
5.2;Modelling and Analysing Interval Data;209
5.3;Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models;221
5.4;Happy Birthday to You, Mr. Wilcoxon!;229
5.5;Equivalent Number of Degrees of Freedom for Neural Networks;241
5.6;Model Choice for Panel Spatial Models: Crime Modeling in Japan;249
5.7;A Boosting Approach to Generalized Monotonic Regression;257
5.8;From Eigenspots to Fisherspots – Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background;267
5.9;Identifying and Exploiting Ultrametricity;275
5.10;Factor Analysis for Extraction of Structural Components and Prediction in Time Series;285
5.11;Classification of the U.S. Business Cycle by Dynamic Linear Discriminant Analysis;293
5.12;Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities;301
6;Visualization and Scaling Methods;309
6.1;VOS: A New Method for Visualizing Similarities Between Objects;310
6.2;Multidimensional Scaling of Asymmetric Proximities with a Dominance Point;318
6.3;Single Cluster Visualization to Optimize Air Traffic Management;330
6.4;Rescaling Proximity Matrix Using Entropy Analyzed by INDSCAL;337
7;Information Retrieval, Data and Web Mining;345
7.1;Canonical Forms for Frequent Graph Mining;346
7.2;Applying Clickstream Data Mining to Real- Time Web Crawler Detection and Containment Using ClickTips Platform;359
7.3;Plagiarism Detection Without Reference Collections;367
7.4;Putting Successor Variety Stemming to Work;375
7.5;Collaborative Filtering Based on User Trends;383
7.6;Investigating Unstructured Texts with Latent Semantic Analysis;391
8;Marketing, Management Science and Economics;399
8.1;Heterogeneity in Preferences for Odd Prices;400
8.2;Classification of Reference Models;408
8.3;Adaptive Conjoint Analysis for Pricing Music Downloads;416
8.4;Improving the Probabilistic Modeling of Market Basket Data;424
8.5;Classification in Marketing Research by Means of LEM2- generated Rules;432
8.6;Pricing Energy in a Multi-Utility Market;440
8.7;Disproportionate Samples in Hierarchical Bayes CBC Analysis;448
8.8;Building on the Arules Infrastructure for Analyzing Transaction Data with R;456
8.9;Balanced Scorecard Simulator – A Tool for Stochastic Business Figures;464
8.10;Integration of Customer Value into Revenue Management;472
8.11;Women’s Occupational Mobility and Segregation in the Labour Market: Asymmetric Multidimensional Scaling;480
8.12;Multilevel Dimensions of Consumer Relationships in the Healthcare Service Market M- L IRT vs. M- L SEM Approach;488
8.13;Data Mining in Higher Education;496
8.14;Attribute Aware Anonymous Recommender Systems;504
9;Banking and Finance;512
9.1;On the Notions and Properties of Risk and Risk Aversion in the Time Optimal Approach to Decision Making;513
9.2;A Model of Rational Choice Among Distributions of Goal Reaching Times;521
9.3;On Goal Reaching Time Distributions Estimated from DAX Stock Index Investments;529
9.4;Credit Risk of Collaterals: Examining the Systematic Linkage between Insolvencies and Physical Assets in Germany;537
9.5;Foreign Exchange Trading with Support Vector Machines;545
9.6;The Influence of Specific Information on the Credit Risk Level;553
10;Bio- and Health Sciences;561
10.1;Enhancing Bluejay with Scalability, Genome Comparison and Microarray Visualization;562
10.2;Discovering Biomarkers for Myocardial Infarction from SELDI- TOF Spectra;574
10.3;Joint Analysis of In-situ Hybridization and Gene Expression Data;582
10.4;Unsupervised Decision Trees Structured by Gene Ontology ( GO- UDTs) for the Interpretation of Microarray Data;590
11;Linguistics and Text Analysis;598
11.1;Clustering of Polysemic Words;599
11.2;Classifying German Questions According to Ontology- Based Answer Types;607
11.3;The Relationship of Word Length and Sentence Length: The Inter- Textual Perspective;615
11.4;Comparing the Stability of Different Clustering Results of Dialect Data;623
11.5;Part-of-Speech Discovery by Clustering Contextual Features;631
12;Statistical Musicology and Sound Classification;639
12.1;A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition;640
12.2;Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound;648
12.3;Vowel Classification by a Neurophysiologically Parameterized Auditory Model;656
13;Archaeology;664
13.1;Uncovering the Internal Structure of the Roman Brick and Tile Making in Frankfurt- Nied by Cluster Validation;665
13.2;Where Did I See You Before... A Holistic Method to Compare and Find Archaeological Artifacts;673
14;Keywords;683
15;Author Index;687