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Classification in the information age : proceedings of the 22nd annual GfKI Conference, Dresden, March 4-6, 1998

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Classification in the information age : proceedings of the 22nd annual GfKI Conference, Dresden, March 4-6, 1998
Original Title Classification in the information age : proceedings of the 22nd annual GfKI Conference, Dresden, March 4-6, 1998
Author Gesellschaft fĂĽr Klassifikation. Jahrestagung (22nd : 1998 : University of Dresden), Gaul, W. (Wolfgang), 1945-, Locarek, Hermann
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Topics Statistics, Classification, Information storage and retrieval systems
Publisher Berlin , New York : Springer
Collection folkscanomy_miscellaneous, folkscanomy, additional_collections
Language English
Book Type EBook
Material Type Book
File Type PDF
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Classification in the Information Age: Proceedings of the 22nd Annual GfKl Conference, Dresden, March 4–6, 1998
Author: Prof. Dr. Wolfgang Gaul, Prof. Dr. Hermann Locarek-Junge
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-65855-9
DOI: 10.1007/978-3-642-60187-3

Table of Contents:

  • Scientific Information Systems and Metadata
  • Multiple Expert Fusion
  • How To Make a Multimedia Textbook and How to Use It
  • Clustering and Neural Network Approaches
  • Data Model and Classification by Trees
  • A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ”ISTOS: An Application in the Computer Networking Domain”
  • Natural and Constrained Classification of Data by Fuzzy Clustering Techniques
  • From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures
  • Does the Planning Horizon Affect the Portfolio Structure?
  • Statistical Approach in Financial Risk Analysis and Management — Review of Concepts
  • On Data-Based Checking of Hypotheses in the Presence of Uncertain Knowledge
  • Multivariate Directional Tests with Incomplete Data
  • Classification and Positioning of Data Mining Tools
  • Hazard Rate Estimation from Censored Data
  • A Sequential Modification of EM Algorithm
  • Analysis of the Stability of Clusters of Variables via Bootstrap
  • Models and Methods for Clusterwise Linear Regression
  • Statistical Clustering Under Distortions: Optimality and Robustness
  • Discrete Scan Statistics for Detecting Change-points in Binomial Sequences
  • Dynamic Confinement, Classification, and Imaging

Includes bibliographical references and index

Mode of access: Internet

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