From Data and Information Analysis to Knowledge Engineering

From Data and Information Analysis to Knowledge Engineering

Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005
Studies in Classification, Data Analysis, and Knowledge Organization

von: Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang A. Gaul

149,79 €

Verlag: Springer
Format: PDF
Veröffentl.: 20.04.2006
ISBN/EAN: 9783540313144
Sprache: englisch
Anzahl Seiten: 761

Dieses eBook enthält ein Wasserzeichen.


<P>This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.</P>
Plenaries and Semi-plenaries.- Boosting and ?1-Penalty Methods for High-dimensional Data with Some Applications in Genomics.- Striving for an Adequate Vocabulary: Next Generation ‘Metadata’.- Scalable Swarm Based Fuzzy Clustering.- SolEuNet: Selected Data Mining Techniques and Applications.- Inferred Causation Theory: Time for a Paradigm Shift in Marketing Science?.- Text Mining in Action!.- Identification of Real-world Objects in Multiple Databases.- Kernels for Predictive Graph Mining.- Clustering.- PRISMA: Improving Risk Estimation with Parallel Logistic Regression Trees.- Latent Class Analysis and Model Selection.- An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure.- Discriminant Analysis.- On the Use of Some Classification Quality Measure to Construct Mean Value Estimates Under Nonresponse.- A Wrapper Feature Selection Method for Combined Tree-based Classifiers.- Input Variable Selection in Kernel Fisher Discriminant Analysis.- The Wavelet Packet Based Cepstral Features for Open Set Speaker Classification in Marathi.- A New Effective Algorithm for Stepwise Principle Components Selection in Discriminant Analysis.- A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets.- Discriminant Analysis of Polythetically Described Older Palaeolithic Stone Flakes: Possibilities and Questions.- Classification with Latent Variable Models.- Model-based Density Estimation by Independent Factor Analysis.- Identifying Multiple Cluster Structures Through Latent Class Models.- Gene Selection in Classification Problems via Projections onto a Latent Space.- Multiway Classification and Data Analysis.- The Recovery Performance of Two-mode Clustering Methods: Monte Carlo Experiment.- On the Comparability of Relialibility Measures: Bifurcation Analysis of Two Measures in the Case of Dichotomous Ratings.- Ranking, Multi-label Classification, Preferences.- On Active Learning in Multi-label Classification.- From Ranking to Classification: A Statistical View.- PLS Path Modeling, PLS Regression and Classification.- Assessing Unidimensionality within PLS Path Modeling Framework.- The Partial Robust M-approach.- Classification in PLS Path Models and Local Model Optimisation.- Robust Methods in Multivariate Statistics.- Hierarchical Clustering by Means of Model Grouping.- Deepest Points and Least Deep Points: Robustness and Outliers with MZE.- Robust Transformations and Outlier Detection with Autocorrelated Data.- Robust Multivariate Methods: The Projection Pursuit Approach.- Finding Persisting States for Knowledge Discovery in Time Series.- Data Mining and Explorative Multivariate Data Analysis.- Restricted Co-inertia Analysis.- Hausman Principal Component Analysis.- Nonlinear Time Series Modelling: Monitoring a Drilling Process.- Text Mining.- Word Length and Frequency Distributions in Different Text Genres.- Bootstrapping an Unsupervised Morphemic Analysis.- Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes.- Learning Ontologies to Improve Text Clustering and Classification.- Discovering Communities in Linked Data by Multi-view Clustering.- Crosslinguistic Computation and a Rhythm-based Classification of Languages.- Using String Kernels for Classification of Slovenian Web Documents.- Semantic Decomposition of Character Encodings for Linguistic Knowledge Discovery.- Applying Collaborative Filtering to Real-life Corporate Data.- Quantitative Text Typology: The Impact of Sentence Length.- A Hybrid Machine Learning Approach for Information Extraction from Free Text.- Text Classification with Active Learning.- Towards Structure-sensitive Hypertext Categorization.- Evaluating the Performance of Text Mining Systems on Real-world Press Archives.- Part-of-Speech Induction by Singular Value Decomposition and Hierarchical Clustering.- Near Similarity Search and Plagiarism Analysis.- Fuzzy Data Analysis.- Objective Function-based Discretization.- Understanding and Controlling the Membership Degrees in Fuzzy Clustering.- Autonomous Sensor-based Landing Systems: Fusion of Vague and Incomplete Information by Application of Fuzzy Clustering Techniques.- Outlier Preserving Clustering for Structured Data Through Kernels.- Economics and Mining in Business Processes.- Classification-relevant Importance Measures for the West German Business Cycle.- The Classification of Local and Branch Labour Markets in the Upper Silesia.- An Overview of Artificial Life Approaches for Clustering.- Design Problems of Complex Economic Experiments.- Traffic Sensitivity of Long-term Regional Growth Forecasts.- Spiralling in BTA Deep-hole Drilling: Models of Varying Frequencies.- Analysis of the Economic Development of Districts in Poland as a Basis for the Framing of Regional Policies.- Banking and Finance.- The Classification of Candlestick Charts: Laying the Foundation for Further Empirical Research.- Modeling and Estimating the Credit Cycle by a Probit-AR(1)-Process.- Comparing and Selecting SVM-Kernels for Credit Scoring.- Value at Risk Using the Principal Components Analysis on the Polish Power Exchange.- Marketing.- A Market Basket Analysis Conducted with a Multivariate Logit Model.- Solving and Interpreting Binary Classification Problems in Marketing with SVMs.- Modeling the Nonlinear Relationship Between Satisfaction and Loyalty with Structural Equation Models.- Job Choice Model to Measure Behavior in a Multi-stage Decision Process.- Semiparametric Stepwise Regression to Estimate Sales Promotion Effects.- Adaptivity and Personalization.- Implications of Probabilistic Data Modeling for Mining Association Rules.- Copula Functions in Model Based Clustering.- Attribute-aware Collaborative Filtering.- User and Data Authentication in IT Security.- Towards a Flexible Framework for Open Source Software for Handwritten Signature Analysis.- Multimodal Biometric Authentication System Based on Hand Features.- Labelling and Authentication for Medical Imaging Through Data Hiding.- Hand-geometry Recognition Based on Contour Landmarks.- A Cross-cultural Evaluation Framework for Behavioral Biometric User Authentication.- Bioinformatics and Biostatistics.- On External Indices for Mixtures: Validating Mixtures of Genes.- Tests for Multiple Change Points in Binary Markov Sequences.- UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data.- Classification of High-dimensional Biological and Medical Data.- A Ridge Classification Method for High-dimensional Observations.- Assessing the Trustworthiness of Clustering Solutions Obtained by a Function Optimization Scheme.- Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse.- Medical and Health Sciences.- The Assessment of Second Primary Cancers (SPCs) in a Series of Splenic Marginal Zone Lymphoma (SMZL) Patients.- Heart Rate Classification Using Support Vector Machines.- Music Analysis.- Visual Mining in Music Collections.- Modeling Memory for Melodies.- Parameter Optimization in Automatic Transcription of Music.- Data Mining Competition.- GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies.
<p>Includes supplementary material:</p>

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