Classification and Knowledge Organization - Klar
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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…mehr

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Produktbeschreibung
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.