Classification, Data Analysis, and Knowledge Organization

Models and Methods with Applications

  • Hans-Hermann Bock
  • Peter Ihm

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Classification and clustering methods

    3. Statistical and probabilistic aspects of clustering and classifications

    4. Statistical, geometrical and algebraic methods for data analysis

      1. Ulrich Halekoh, Paul O. Degens
        Pages 91-98
      2. Rudolf Mathar
        Pages 99-103
      3. Selma Strahringer, Rudolf Wille
        Pages 113-120
      4. Frank Vogt, Cornelia Wachter, Rudolf Wille
        Pages 131-140

About these proceedings

Introduction

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.

Keywords

Klassifikation Mathematica Mulivariate Analyse Quantitative Analysis Wissensrepräsentation algorithms calculus classification data analysis modeling neural networks ordering and representation of knowledge statistical analysis statistical method statistics

Editors and affiliations

  • Hans-Hermann Bock
    • 1
  • Peter Ihm
    • 2
  1. 1.Institut für Statistik und WirtschaftsmathematikRheinisch-Westfälische Technische Hochschule AachenAachenGermany
  2. 2.Institut für Medizinische BiometriePhilipps-Universität MarburgMarburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-76307-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-53483-9
  • Online ISBN 978-3-642-76307-6
  • Series Print ISSN 1431-8814
  • About this book