From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fur Klassifikation e.V., University . Data Analysis, and Knowledge Organization

ISBN 10: 3540313133 / ISBN 13: 9783540313137

Editore: Springer, 2006

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Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Codice articolo 57732527-6

Dati bibliografici

• Titolo: From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fur Klassifikation e.V., University . Data Analysis, and Knowledge Organization
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540313133
• ISBN 13: 9783540313137
• Rilegatura: Brossura
• Condizione: Good
• Peso: 2 libbre

Descrizione articolo

Riassunto

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.

Contenuti

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.