Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft f�r . Data Analysis, and Knowledge Organization)

Bock, Hans-Hermann

ISBN 10: 3540607749 / ISBN 13: 9783540607748

Published by Springer, 1996

About this Item

Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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Bibliographic Details

• Title: Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft f�r . Data Analysis, and Knowledge Organization)
• Publisher: Springer
• Publication Date: 1996
• Language: English
• ISBN 10: 3540607749
• ISBN 13: 9783540607748
• Binding: Soft cover
• Condition: Good

About this title

Synopsis

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.