Wolfgang Gaul Libros

InhaltsverzeichnisPlenary and Semi Plenary Presentations.- Advances in Cluster Analysis Relevant to Marketing Research.- Representation of Statistical Structures, Classification and Prediction Using Multidimensional Scaling.- Null Models in Cluster Validation.- Classifying Space and Analysing the Consequences: Spatial Analysis of Health Data.- An Ordinal Model for Cluster Analysis — 15 Years in Retrospect.- An Overview and Recent Developments in Dual Scaling.- Gibbs Sampling in AR Models with Random Walk Priors.- Finding the Edge of a Poisson Forest with Inside and Outside Observations: The Discriminant Analysis Point of View.- Spatial Fibre and Surface Processes — Stereologicai Estimations and Applications.- Robustizing Mixture Analysis Using Model Weighting.- Evaluation of the First Life Table Published in 1888 in Japan.- Classification Related Results and Other Aspects of Data Analysis.- Incomplete Data Matrices and Tests on Randomly Missing Data.- Valuations and Hierarchizations.- Recent Developments in Multimode Clustering.- Gaussian Neural Networks Applied to the Cluster Analysis Problem.- Graph-Theoretic Models for Testing the Homogeneity of Data.- Least Squares Multidimensional Scaling with Transformed Distances.- Alternatives to Configurai Frequency Analysis.- Clustering Methods in Fuzzy Control.- The Excess Mass Approach and the Analysis of Multi-Modality.- Mode Extraction by Multivaiue Morphology for Cluster Analysis.- On the Longest Edge of the Minimal Spanning Tree.- Detection of Blocks in a Binary Matrix — A Bayesian Approach.- Spatial Data Analysis.- Detection of Spatial Discontinuities in Vegetation Data by a Moving Window Algorithm.- Spatial Clustering of Neurons by Hypergeometric Disjoint Statistics.- A New Approach of Regionalisation by Classifying HydrologicalQuantities.- The Index-of-Dispersion Test Revisited.- Comparing Spatio-Temporal Patterns from Defaunization Experiments in Marine Ecology.- Applications in Economics.- A Unifying Approach to Benefit Segmentation and Product Line Design Based on Rank Order Conjoint Data.- Classification and Representation Using Conjoint Data.- Overlapping Clustering of Statistical Software Packages for PC.- Scenario Analysis with BASICS — Testing the Representativity of the Results of the Dynamic Probability Adjustment of Scenario Components with the Help of Classification Methods.- Analysis of Sales Data: A Neural Net Approach.- Applications in Linguistics.- On the Definition of Inflection.- Computer-Aided Analysis of Vocabulary Acquisition.- Features and Tags.- Semanticaily Based Universal Definitions of Grammatical Agreement and Agreement Domain Universals: A Critical Evaluation.- Towards a Hypermedia, Multilingual, On-Line Resource System for LSP Users/Learners.- Applications in Medicine and Biology.- A New Methodologic Look at Describing the Performance of Diagnostic Classification Procedures in Medicine.- Xmed-DD: From Document Processing to Systematic Information Storage.- Ribosomai RNA Phylogeny Derived from a Correlation Model of Sequence Evolution.- SALBIDH2 — Modifications of the LBI-Method for Automated Lexicon-Based Indexing of Diagnoses.- Record Linkage of Anonymous Data by Control Numbers.- Information Systems and Knowledge Organization.- Processing Partial Information in Decision Support Systems.- Consistency Conditions for the Classification in LIS/CI.- Using Hypertext for Information Retrieval in STEP/EXPRESS Schemata.- Two Software Tools Supporting Enduser Oriented Information Retrieval in Physics.- From Verbal Data to Practical Knowledge.

Presenting contributions to the analysis of data in the information age, this text is aimed at scientists and professionals in the field of classification and statistics. There are research results and applications to economics, archeology, bioinformatics, environment and health.

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

„Data Analysis“ in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e. g., data mining or web mining as well as traditional directions emphazising, e. g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.

The book covers a wide range of topics, starting with data mining and its implications for understanding consumer behavior through shopping cart data. It delves into data analysis and classification, exploring methods such as multivariate data analysis, clustering, and genetic algorithms, alongside the effectiveness of various classification techniques. The statistical section discusses linear regression, semiparametric Bayesian function estimation, and graphical analysis of causal dependencies, emphasizing the importance of statistical measures in research. Market research and marketing methodologies are examined, particularly through conjoint analysis and factors influencing urban marketing success. The text also addresses capital and risk, analyzing the German stock market's characteristics, capital budgeting, and market risk management techniques. In operations research and corporate planning, topics include location problems and project network construction, highlighting practical applications in various industries. The economics section discusses production functions, exchange rate dynamics, and income multipliers, providing insights into economic modeling. Finally, the book addresses computer science topics, such as similarity in non-numerical domains and game-theoretic models in IT project interactions, alongside the teaching of quantitative methods in business education, showcasing a comprehensive approach to quant

Computerbasierte Entscheidungsunterstützung ist ein wichtiger Bestandteil eines modernen Marketing-Managements. Dabei gewinnen Methoden zur Analyse von Marketing-Daten sowie die quantitative Modellierung von Marketing-Problemstellungen zunehmende Bedeutung. Im Rahmen des WIMDAS-Projekts werden Möglichkeiten beschrieben, wie eine Entlastung bei der Vorbereitung von Marketing-Entscheidungen durch eine wissensbasierte Unterstützung bei der Aufbereitung und Auswertung von Marketing-Informationen erfolgen kann. Die vorgestellten Ergebnisse erlauben einen eindrucksvollen Einblick in die interdisziplinäre Vielfalt der zu berücksichtigenden Wissensrichtungen.

Im vorliegenden Buch wird das MARK2MAN (MARKtforschung und MARKeting MANagement)-System vorgestellt, wobei Anwendungsmöglichkeiten aktueller Hochschulforschung und benutzerfreundlicher Umsetzung von Problemstellungen aus Marktforschung und Marketing für PC-Anwendungen miteinander in Verbindung gesetzt werden. Eine auf die Ausführungen im Buch abgestimmte Diskette enthält eine PC-Version von MARK2MAN und soll das Interesse an eigenen computerunterstützten Auswertungen von Marktforschungs- und Marketinginformationen fördern.