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Classification, Data Analysis, and Knowledge Organization

Models and Methods with Applications

  • Conference proceedings
  • © 1991

Overview

Editors:
  1. Hans-Hermann Bock

    1. Institut für Statistik und Wirtschaftsmathematik, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Peter Ihm

    1. Institut für Medizinische Biometrie, Philipps-Universität Marburg, Marburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (50 papers)

  1. Front Matter

    Pages I-XIII
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  2. Mathematical and Statistical Methods for Classification and Data Analysis

    1. Front Matter

      Pages 1-1
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    3. Statistical and probabilistic aspects of clustering and classifications

      1. Multigraphs for the Uncovering and Testing of Structures
        • E. Godehardt
        Pages 43-52
      2. Estimators and Relative Efficiencies in Models of Overlapping Samples
        • U. Kamps
        Pages 53-60
      3. Lower Bounds for the Tail Probabilities of the Scan Statistic
        • J. Krauth
        Pages 61-67
      4. Poisson Approximation of Image Processes in Computer Tomography
        • D. Pfeifer
        Pages 68-71

    4. Statistical, geometrical and algebraic methods for data analysis

      1. Some Recent Developments in Linear Models: A Short Survey
        • Gerhard Arminger
        Pages 72-82
      2. Causal Analysis in Marketing Research with LISREL or a Combination of Traditional Multivariate Methods?
        • Jochen Benz
        Pages 83-90
      3. Analysis of Data Measured on a Lattice
        • Ulrich Halekoh, Paul O. Degens
        Pages 91-98
      4. Dual Algorithms in Multidimensional Scaling
        • Rudolf Mathar
        Pages 99-103
      5. Comparison of Biplot Analysis and Formal Concept Analysis in the case of a Repertory Grid
        • Norbert Spangenberg, Karl Erich Wolff
        Pages 104-112
      6. Convexity in Ordinal Data
        • Selma Strahringer, Rudolf Wille
        Pages 113-120
      7. Classification and Seriation by Iterative Reordering of a Data Matrix
        • Richard Streng
        Pages 121-130
      8. Data Analysis Based on a Conceptual File
        • Frank Vogt, Cornelia Wachter, Rudolf Wille
        Pages 131-140
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Keywords

About this book

In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

Editors and Affiliations

  • Institut für Statistik und Wirtschaftsmathematik, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany

    Hans-Hermann Bock

  • Institut für Medizinische Biometrie, Philipps-Universität Marburg, Marburg, Germany

    Peter Ihm

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