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Exploratory Data Analysis in Empirical Research
Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001
Häftad, Engelska, 2002
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Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
Conceptual and Numerical Analysis of Data
Proceedings of the 13th Conference of the Gesellschaft für Klassifikation e.V., University of Augsburg, April 10–12, 1989
Häftad, Engelska, 1989
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The 13th conference of the Gesellschaft fUr Klassifikation e. V. took place at the Universitat Augsburg from April 10 to 12, 1989, with the' local organization by the Lehrstuhl fUr Mathematische Me thoden der Wirtschaftswissenschaften. The wide ranged subject of the conference Conceptual and Numerical Analysis of Data was obliged to indicate the variety of the concepts of data and information as well as the manifold methods of analysing and structuring. Based on the received announcements of papers four sections have been arranged: 1. Data Analysis and Classification: Basic Concepts and Methods 2. Applications in Library Sciences, Documentation and Information Sciences 3. Applications in Economics and Social Sciences 4. Applications in Natural Sciences and Computer Sciences This classification doesn't separate strictly, but it shows that theo retic and applying researchers of most different disciplines were disposed to present a paper. In 60 survey and special lectures the speakers reported on developments in theory and applications en couraging the interdisciplinary dialogue of all participants. This volume contains 42 selected papers grouped according to the four sections. Now we give a short insight into the presented papers. x Several problems of concept analysis, cluster analysis, data analysis and multivariate statistics are considered in 18 pa pers of section 1. The geometric representation of a concept lattice is a collection of figures in the plane corresponding to the given concepts in such a way that the subconcept-superconcept-relation corresponds to the containment relation between the figures. R.
Information and Classification
Concepts, Methods and Applications Proceedings of the 16th Annual Conference of the “Gesellschaft für Klassifikation e.V.” University of Dortmund, April 1–3, 1992
Häftad, Engelska, 1993
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In many fields of science and practice large amounts of dataand informationare collected for analyzing and visualizinglatent structures as orderings or classifications forexample. This volume presents refereed and revised versionsof 52 papers selected from the contributions of the 16thAnnualConference of the "German Classification Society".The papers are organized in three major sections on DataAnalysis and Classification (1), InformationRetrieval,Knowledge Processing and Software (2), Applications andSpecial Topics (3). Moreover, the papers were grouped andordered within the major sections. So, in the first sectionwe find papers on Classification Methods, FuzzyClassification, Multidimensional Scaling, DiscriminantAnalysis and Conceptual Analysis. The second sectioncontains papers on Neural Networks and ComputationalLinguisticsin addition to the mentioned fields. Anessential part of the third section attends to Sequence Dataand Tree Reconstruction as well as Data Analysis andInformatics in Medicine. As special topics the volumepresents applications in Thesauri, Archaeology, MusicalScience and Psychometrics.
Classification and Knowledge Organization
Proceedings of the 20th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Freiburg, March 6–8, 1996
Häftad, Engelska, 1997
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This volume presents 71 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and text analysis as well as manifold applications. Eight sections have been arranged: Data Analysis and Classification. Neural Networks and Pattern Recognition. Statistical Models and Methods. Information Systems: Design and Implementation. Text Analysis and Information Retrieval. Applications in Medicine. Applications in Economics and Social Sciences. Applications in Archaeology, Biology, Linguistics and Dialectometry. The grouping shows how theoretical aspects, applications and interdisciplinarities are interrelated in many respects.
Classification and Data Analysis
Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Società Italiana di Statistica (SIS) Pescara, July 3–4, 1997
Häftad, Engelska, 1999
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This text provides developments in classification, data analysis and multidimensional methods, topics which are of central interest to modern statistics. A wide range of topics is considered including methodologies in classification, fuzzy clustering, discrimination, regression tree, neural networks, proximity methodologies, factorial methods, spatial analysis, multiway and multivariate analysis.
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Data Analysis
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Okonomie nDd Mathematik - Der Titel der Festschrift zum 65. Geburtstag von Rudolf Henn charakterisiert im lahr 1987 zumindest partiell eine Realitat. So sind die Disziplinen der mathematischen Wirtschaftstheorie, der Statistik und des Operations Research heute fest integrierte Bestandteile eines wirtschafts- wissenschaftlichen Studiums. Eine Reihe von makro- und mikrookonomischen Spezialgebieten hat in den vergangenen lahrzehnten eine starke Mathematisie- rung erfahren. Bestimmte Elemente der Analysis, der Differenzen- und Diffe- rentialgleichungen, der Funktionalanalysis und der linearen Algebra haben zu bedeutenden Entwicklungen in der neoklassischen und mehrsektoralen Wachs- tumstheorie, der Gleichgewichtstheorie, der makro- und mikrookonomischen Produktions- und Preistheorie gefUhrt. Empirische Wirtschaftsforschung ohne Okonometrie ist heute nicht mehr denkbar.1m betriebswirtschaftlichen Bereich sind insbesondere Fragen der Logistik, der Projekt- und Produktionsplanung mit der Anwendung von Modellen und Methoden der Optimierung und der Netzplantechnik verbunden, entscheidungstheoretische Ansatze haben wesent- liche Akzente in der Finanzierungs- und Investitionstheorie gesetzt, der Be- reich des Marketing erschlieBt sich zunehmend der Anwendung stochastischer und statistischer Methoden. Auf der anderen Seite hat auch die mathematische Okonomie ihrerseits in einigen mathematischen Forschungsrichtungen Im- pulse ausgelost. So befaBt sich die diskrete Mathematik mit Fragen der Gra- phentheorie und kombinatorischen Optimierung. In der numerischen Mathe- matik geht es u. a. urn Probleme der nichtlinearen und stochastischen Optimie- rung sowie der Kontrolltheorie und dynamischen Steuerung. Man kann feststellen, daB sich sowohl in der Mathematik als auch in den Wirtschaftswissenschaften sowie in ihrem Verhaltnis zueinander erhebliche Veranderungen vollzogen haben bzw. noch anstehen.