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Data Analysis and Information Systems

Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8–10, 1995

  • Hans-Hermann Bock
  • Wolfgang Polasek

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Classification and Clustering

    1. Front Matter
      Pages 1-1
    2. Peter G. Bryant
      Pages 3-14
    3. Wolfgang Gaul, Martin Schader
      Pages 15-23
    4. Mushtaq Hussain, Klemens Fuchs
      Pages 52-63
    5. K.-D. Wernecke, K. Possinger, G. Kalb
      Pages 88-98
  3. Uncertainty and Fuzziness

  4. Methods of Data Analysis and Applications

  5. Statistical Models and Methods

    1. Front Matter
      Pages 241-241
    2. Gerhard Arminger, Daniel Enache
      Pages 243-260
    3. Claus Weihs, Wolfgang Seewald
      Pages 272-288
    4. Robert L. Wolpert
      Pages 289-297
  6. Bayesian Learning

    1. Front Matter
      Pages 299-299
    2. Maria J. Bayarri, Begona Font
      Pages 301-312
    3. K. Ickstadt, S. Jin, W. Polasek
      Pages 313-322
    4. Jeffrey S. Pai, Nalini Ravishanker
      Pages 323-331
  7. Conceptual Classification, Knowledge Ordering and Information Systems

  8. Linguistics and Dialectometry

    1. Front Matter
      Pages 495-495

About these proceedings

Introduction

This volume presents 45 articles dealing with theoretical aspects, methodo­ logical advances and practical applications in domains relating to classifica­ tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc­ tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika­ tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in parentheses is the number of papers in the chapter. 1. Classification and clustering (8) 2. Uncertainty and fuzziness (5) 3. Methods of data analysis and applications (7) 4. Statistical models and methods (4) 5. Bayesian learning (5) 6. Conceptual classification, knowledge ordering and information systems (12) 7. Linguistics and dialectometry (4). These chapters are interrelated in many respects. The reader may recogni­ ze, for example, the analogies and distinctions existing among classification principles developed in such different domains as statistics and information sciences, the benefit to be gained by the comparison of conceptual and ma­ thematical approaches for structuring data and knowledge, and, finally, the wealth of practical applications described in many of the papers. For convenience of the reader, the content of this volume is briefly reviewed.

Keywords

Classification Datenanalyse Information Systems Informationssysteme Klassifikation Likelihood Normal distribution Probability distribution Time series calculus cluster analysis correlation data analysis inferential statistics statistics

Editors and affiliations

  • Hans-Hermann Bock
    • 1
  • Wolfgang Polasek
    • 2
  1. 1.Institut für Statistik und WirtschaftsmathematikRheinisch-Westfälische Technische Hochschule Aachen (RWTH)AachenGermany
  2. 2.Institut für Statistik und ÖkonometrieUniversität BaselBaselSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-80098-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60774-8
  • Online ISBN 978-3-642-80098-6
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site
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