Automatisierung in der Klassifikation

Automatisierung in der Klassifikation PDF Author: Gesellschaft für Klassifikation. Jahrestagung
Publisher:
ISBN:
Category : Automatic classification
Languages : de
Pages : 292

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Automatisierung in der Klassifikation

Automatisierung in der Klassifikation PDF Author: Gesellschaft für Klassifikation. Jahrestagung
Publisher:
ISBN:
Category : Automatic classification
Languages : de
Pages : 292

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Book Description


Automatisierung in der Klassifikation

Automatisierung in der Klassifikation PDF Author: Gesellschaft für Klassifikation. Jahrestagung
Publisher:
ISBN:
Category : Automatic classification
Languages : de
Pages : 344

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Automatisierung in der Klassifikation

Automatisierung in der Klassifikation PDF Author:
Publisher:
ISBN:
Category :
Languages : de
Pages : 0

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Classification, Automation, and New Media

Classification, Automation, and New Media PDF Author: Wolfgang A. Gaul
Publisher: Springer Science & Business Media
ISBN: 3642559913
Category : Computers
Languages : en
Pages : 516

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Book Description
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.

Graphs as Structural Models

Graphs as Structural Models PDF Author: Erhard Godehardt
Publisher: Springer Science & Business Media
ISBN: 3322963101
Category : Mathematics
Languages : en
Pages : 224

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Book Description
The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul tivariate statistical procedures to large data sets to explore their structures. More and more, methods of graphical representation and data analysis are used for investigations. These methods belong to a topic of growing popUlarity, known as "exploratory data analysis" or EDA. In many applications, there is reason to believe that a set of objects can be clus tered into subgroups that differ in meaningful ways. Extensive data sets, for example, are stored in clinical cancer registers. In large data sets like these, nobody would ex pect the objects to be homogeneous. The most commonly used terms for the class of procedures that seek to separate the component data into groups are "cluster analysis" or "numerical taxonomy". The origins of cluster analysis can be found in biology and anthropology at the beginning of the century. The first systematic investigations in cluster analysis are those of K. Pearson in 1894. The search for classifications or ty pologies of objects or persons, however, is indigenous not only to biology but to a wide variety of disciplines. Thus, in recent years, a growing interest in classification and related areas has taken place. Today, we see applications of cluster analysis not only to. biology but also to such diverse areas as psychology, regional analysis, marketing research, chemistry, archaeology and medicine.

Clustering And Classification

Clustering And Classification PDF Author: Phips Arabie
Publisher: World Scientific
ISBN: 981450453X
Category : Computers
Languages : en
Pages : 501

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Book Description
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.

Automatisierung in der Inhaltsanalyse

Automatisierung in der Inhaltsanalyse PDF Author: Katharina Sommer
Publisher: Herbert von Halem Verlag
ISBN: 3869621494
Category : Social Science
Languages : de
Pages : 186

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Book Description
Die Inhaltsanalyse steht als zentrale Erhebungsmethode der Kommunikationswissenschaft angesichts der voranschreitenden technologischen Entwicklungen vor der großen Herausforderung, einzelne Prozesse zu automatisieren. Durch eine (Teil-)Automatisierung der Inhaltsanalyse kann mehr Material codiert werden, es fallen weniger Codierfehler an und nicht zuletzt werden Kosten eingespart. Dem stehen Einschränkungen entgegen, die schon in den letzten Jahrzehnten diskutiert wurden, aber nichts an Aktualität verloren haben: Computergestützte Codierung kann im Gegensatz zu menschlichen Codierern keinen Kontext bei den Codierentscheidungen berücksichtigen, erkennt Doppeldeutigkeiten nicht und bleibt so der impliziten Komponente von Medieninhalten weitestgehend verschlossen. Vor diesem Hintergrund stellen sich die Autoren die Frage, welche Probleme durch die technologischen Weiterentwicklungen der letzten Jahre gelöst und welche Herausforderungen dazugekommen sind. Allerdings wird der Bogen noch etwas weiter gespannt und Bezug genommen auf das kontinuierliche Voranschreiten der Digitalisierung: Nicht nur die Frage wird berücksichtigt, wie automatisiert inhaltsanalytische Daten gewonnen werden können, sondern auch, welche Herausforderungen durch neue Medienangebote an die Inhaltsanalyse gestellt werden.

International Classification

International Classification PDF Author:
Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 524

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Book Description
Journal on theory and practice of universal and special classification systems and thesauri.

Trees and Hierarchical Structures

Trees and Hierarchical Structures PDF Author: Andreas Dress
Publisher: Springer Science & Business Media
ISBN: 3662106191
Category : Mathematics
Languages : en
Pages : 144

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Book Description
The "raison d'etre" of hierarchical dustering theory stems from one basic phe nomenon: This is the notorious non-transitivity of similarity relations. In spite of the fact that very often two objects may be quite similar to a third without being that similar to each other, one still wants to dassify objects according to their similarity. This should be achieved by grouping them into a hierarchy of non-overlapping dusters such that any two objects in ~ne duster appear to be more related to each other than they are to objects outside this duster. In everyday life, as well as in essentially every field of scientific investigation, there is an urge to reduce complexity by recognizing and establishing reasonable das sification schemes. Unfortunately, this is counterbalanced by the experience of seemingly unavoidable deadlocks caused by the existence of sequences of objects, each comparatively similar to the next, but the last rather different from the first.

Conceptual and Numerical Analysis of Data

Conceptual and Numerical Analysis of Data PDF Author: Otto Opitz
Publisher: Springer Science & Business Media
ISBN: 3642750400
Category : Business & Economics
Languages : en
Pages : 550

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Book Description
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.