Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings Of The 32nd Annual Conference Of The Gesellschaft Fur Klassifikation E by Andreas FinkAdvances in Data Analysis, Data Handling and Business Intelligence: Proceedings Of The 32nd Annual Conference Of The Gesellschaft Fur Klassifikation E by Andreas Fink

Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings Of The 32nd Annual…

byAndreas FinkEditorBerthold Lausen, Wilfried Seidel

Paperback | November 6, 2009

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Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Title:Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings Of The 32nd Annual…Format:PaperbackDimensions:695 pages, 23.5 × 15.5 × 0.07 inPublished:November 6, 2009Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642010431

ISBN - 13:9783642010439

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Table of Contents

Invited.- Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification.- Strategies of Model Construction for the Analysis of Judgment Data.- Clustering of High-Dimensional Data via Finite Mixture Models.- Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data.- Kernel Methods for Detecting the Direction of Time Series.- Statistical Processes Under Change: Enhancing Data Quality with Pretests.- Clustering and Classification.- Evaluation Strategies for Learning Algorithms of Hierarchies.- Fuzzy Subspace Clustering.- Motif-Based Classification of Time Series with Bayesian Networks and SVMs.- A Novel Approach to Construct Discrete Support Vector Machine Classifiers.- Predictive Classification Trees.- Isolated Vertices in Random Intersection Graphs.- Strengths and Weaknesses of Ant Colony Clustering.- Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach.- Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models.- Cluster Ensemble Based on Co-occurrence Data.- Localized Logistic Regression for Categorical Influential Factors.- Clustering Association Rules with Fuzzy Concepts.- Clustering with Repulsive Prototypes.- Mixture Analysis.- Weakly Homoscedastic Constraints for Mixtures of -Distributions.- Bayesian Methods for Graph Clustering.- Determining the Number of Components in Mixture Models for Hierarchical Data.- Testing Mixed Distributions when the Mixing Distribution Is Known.- Classification with a Mixture Model Having an Increasing Number of Components.- Nonparametric Fine Tuning of Mixtures: Application to Non-Life Insurance Claims Distribution Estimation.- Linguistics and Text Analysis.- Classification of Text Processing Components: The Tesla Role System.- Nonparametric Distribution Analysis for Text Mining.- Linear Coding of Non-linear Hierarchies: Revitalization of an Ancient Classification Method.- Automatic Dictionary Expansion Using Non-parallel Corpora.- Multilingual Knowledge-Based Concept Recognition in Textual Data.- Pattern Recognition and Machine Learning.- A Diversified Investment Strategy Using Autonomous Agents.- Classification with Kernel Mahalanobis Distance Classifiers.- Identifying Influential Cases in Kernel Fisher Discriminant Analysis by Using the Smallest Enclosing Hypersphere.- Self-Organising Maps for Image Segmentation.- Image Based Mail Piece Identification Using Unsupervised Learning.- Statistical Musicology.- Statistical Analysis of Human Body Movement and Group Interactions in Response to Music.- Applying Statistical Models and Parametric Distance Measures for Music Similarity Search.- Finding Music Fads by Clustering Online Radio Data with Emergent Self Organizing Maps.- Analysis of Polyphonic Musical Time Series.- Banking and Finance.- Hedge Funds and Asset Allocation: Investor Confidence, Diversification Benefits, and a Change in Investment Style Composition.- Mixture Hidden Markov Models in Finance Research.- Multivariate Comparative Analysis of Stock Exchanges: The European Perspective.- Empirical Examination of Fundamental Indexation in the German Market.- The Analysis of Power For Some Chosen Backtesting Procedures: Simulation Approach.- Extreme Unconditional Dependence Vs. Multivariate GARCH Effect in the Analysis of Dependence Between High Losses on Polish and German Stock Indexes.- Is Log Ratio a Good Value for Measuring Return in Stock Investments?.- Marketing, Management Science and Economics.- Designing Products Using Quality Function Deployment and Conjoint Analysis: A Comparison in a Market for Elderly People.- Analyzing the Stability of Price Response Functions: Measuring the Influence of Different Parameters in a Monte Carlo Comparison.- Real Options in the Assessment of New Products.- Exploring the Interaction Structure of Weblogs.- Analyzing Preference Rankings when There Are Too Many Alternatives.- Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach.- Dyadic Interactions in Service Encounter: Bayesian SEM Approach.- Archaeology and Spatial Planning.- Estimating the Number of Buildings in Germany.- Mapping Findspots of Roman Military Brickstamps in (Mainz) and Archaeometrical Analysis.- Analysis of Guarantor and Warrantee Relationships Among Government Officials in the Eighth Century in the Old Capital of Japan by Using Asymmetric Multidimensional Scaling.- Analysis of Massive Emigration from Poland: The Model-Based Clustering Approach.- Bio- and Health Sciences.- Systematics of Short-range Correlations in Eukaryotic Genomes.- On Classification of Molecules and Species of Representation Rings.- The Precise and Efficient Identification of Medical Order Forms Using Shape Trees.- On the Prognostic Value of Gene Expression Signatures for Censored Data.- Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data.- A Comparison of Algorithms to Find Differentially Expressed Genes in Microarray Data.- Exploratory Data Analysis, Modeling and Applications.- Data Compression and Regression Based on Local Principal Curves.- Optimization of Centrifugal Impeller Using Evolutionary Strategies and Artificial Neural Networks.- Efficient Media Exploitation Towards Collective Intelligence.- Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications.- Dynamic Disturbances in BTA Deep-Hole Drilling: Modelling Chatter and Spiralling as Regenerative Effects.- Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images.- Collective Intelligence Generation from User Contributed Content.- Computation of the Molenaar Sijtsma Statistic.