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Classification and Knowledge Organization - Proceedings of the 20th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Freiburg, March 6-8, 1996 (Paperback, 1997 ed.)
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Classification and Knowledge Organization - Proceedings of the 20th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Freiburg, March 6-8, 1996 (Paperback, 1997 ed.)
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Expected to ship within 10 - 15 working days
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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. These articles are se lected from about 160 papers
presented at the 20th Annual Conference of the Gesellschaft fUr
Klassifikation. This conference was organized by R. Klar, at the
Abteilung fiir Medizinische Informatik of the University of
Freiburg from March 6 to 8, 1996. Based on the submitted and
revised papers eight sections have been arranged, where the number
of papers in the sections is given in parentheses: 1. Data Analysis
and Classification (10) 2. Neural Networks and Pattern Recognition
(4) 3. Statistical Models and Methods (11) 4. Information Systems:
Design and Implementation (7) 5. Text Analysis and Information
Retrieval (10) 6. Applications in Medicine (15) 7. Applications in
Economics and Social Sciences (7) 8. Applications in Archaeology,
Biology, Linguistics and Dialectometry (7) This grouping doesn't
separate strictly, but it shows how theoretical aspects,
applications and interdisciplinarities are interrelated in many
respects. For convenience of the reader the contents of this
volumne is briefly summarized. 1. Data Analysis and Classification
This section presents ten articles dealing with different problems
of data analysis and classification, especially with several
aspects of multidimen sional scaling (MDS), three-way data
analysis, stochastic aspects in cluster ing and regression of
ordinal data. The survey article of M. W. Trosset considers an
approach to define and classify MDS problems as optimization
problems."
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