Advances in Case-Based Reasoning

9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings

  • Editors
  • Klaus-Dieter Althoff
  • Ralph Bergmann
  • Mirjam Minor
  • Alexandre Hanft
Conference proceedings ECCBR 2008
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5239)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Research Papers

    1. Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila
      Pages 59-73
    2. Sutanu Chakraborti, Ulises Cerviño Beresi, Nirmalie Wiratunga, Stewart Massie, Robert Lothian, Deepak Khemani
      Pages 104-119
    3. Weiwei Cheng, Eyke Hüllermeier
      Pages 120-134
    4. Julien Cojan, Jean Lieber
      Pages 135-149
    5. Amélie Cordier, Béatrice Fuchs, Léonardo Lana de Carvalho, Jean Lieber, Alain Mille
      Pages 150-164
    6. Belén Díaz-Agudo, Enric Plaza, Juan A. Recio-García, Josep-Lluís Arcos
      Pages 165-179
    7. Gonzalo Flórez Puga, Belén Díaz-Agudo, Pedro González-Calero
      Pages 180-194
    8. Albert Fornells, Eva Armengol, Elisabet Golobardes
      Pages 210-224
    9. Thomas Gabel, Martin Riedmiller
      Pages 225-239
    10. Eyke Hüllermeier, Ilya Vladimirskiy, Belén Prados Suárez, Eva Stauch
      Pages 240-254

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 9th European Conference on Case-Based Reasoning, ECCBR 2008, held in Trier, Germany, in September 2008.

The 34 revised research papers and 5 revised application papers presented together with 3 invited talks were carefully reviewed and selected from 71 submissions. All current issues in case-based reasoning are addressed, ranging from theoretical and methodological issues to advanced applications in various fields such as knowledge discovery, similarity, context-awareness, uncertainty, and health sciences.

Keywords

accuracy adaptive learning case base management case memory organization case representation case-based reasoning classification conversational CBR feature selection instance-based learning knowledge knowledge discovery knowledge management machine learning uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-85502-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-85501-9
  • Online ISBN 978-3-540-85502-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book