Skip to main content
SpringerLink
Log in

New Approaches in Classification and Data Analysis

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Edwin Diday

    1. Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Yves Lechevallier

    1. Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Martin Schader

    1. Universität Mannheim, Mannheim, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Patrice Bertrand

    1. Université Paris IX Dauphine, Paris Cedex 16, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Bernard Burtschy

    1. TELECOM-Paris, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (79 papers)

  1. Data-specific approaches

    1. Front Matter

      Pages 325-325
      Download chapter PDF

    2. Sequence analysis in molecular biology

      1. Alignment, Comparison and Consensus of Molecular Sequences
        • William H. E. Day, F. R. McMorris
        Pages 327-346
      2. An Empirical Evaluation of Consensus Rules for Molecular Sequences
        • William H. E. Day, Allan D. Gordon
        Pages 347-355
      3. A Probabilistic Approach To Identifying Consensus In Molecular Sequences
        • A. D. Gordon
        Pages 356-361
      4. Applications of Distance Geometry to Molecular Conformation
        • T. L. Hayden
        Pages 362-369
      5. Classification of aligned biological sequences
        • I. C. Lerman, J. Nicolas, B. Tallur, P. Peter
        Pages 370-377

    3. Symbolic data for classification and data analysis

      1. Use of Pyramids in Symbolic Data Analysis
        • P. Brito
        Pages 378-386
      2. Proximity Coefficients between Boolean symbolic objects
        • Francisco de A. T. de Carvalho
        Pages 387-394
      3. Conceptual Clustering in Structured Domains: A Theory Guided Approach
        • Floriana Esposito
        Pages 395-404
      4. Automatic Aid to Symbolic Cluster Interpretation
        • Mireille Gettler Summa, Emmanuel Périnel, Jocelyne Ferraris
        Pages 405-413
      5. Symbolic Clustering Algorithms using Similarity and Dissimilarity Measures
        • K. Chidananda Gowda, E. Diday
        Pages 414-422
      6. Feature Selection for Symbolic Data Classification
        • Manabu Ichino
        Pages 423-429
      7. Towards extraction method of knowledge founded by symbolic objects
        • Saliha Smadhi
        Pages 430-437
      8. One Method of Classification based on an Analysis of the Structural Relationship between Independent Variables
        • Setsuko Takakura
        Pages 438-444
      9. The Integration of Neural Networks with Symbolic Knowledge Processing
        • A. Ultsch
        Pages 445-454

    4. Uncertainty handling and fuzzy data

      1. Ordering of Fuzzy <i>k</i>-Partitions
        • Slavka Bodjanova
        Pages 455-462
      2. On the Extension of Probability Theory and Statistics to the Handling of Fuzzy Data
        • Rudolf Kruse
        Pages 463-469
      3. Fuzzy Regression
        • Wolfgang Näther
        Pages 470-477
      4. Clustering and Aggregation of Fuzzy Preference Data: Agreement vs. Information
        • Jan W. Owsiński
        Pages 478-481
      5. Rough Classification with Valued Closeness Relation
        • Roman Słowiński, Jerzy Stefanowski
        Pages 482-489
Back to top

Keywords

Editors and Affiliations

  • Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

    Edwin Diday, Yves Lechevallier

  • Universität Mannheim, Mannheim, Germany

    Martin Schader

  • Université Paris IX Dauphine, Paris Cedex 16, France

    Patrice Bertrand

  • TELECOM-Paris, Paris, France

    Bernard Burtschy

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation