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Case-Based Reasoning Research and Development

8th International Conference on Case-Based Reasoning, ICCBR 2009 Seattle, WA, USA, July 20-23, 2009 Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Lorraine McGinty

    1. Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin,, Dublin 4, Ireland

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  2. David C. Wilson

    1. Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5650)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICCBR 2009.

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Table of contents (36 papers)

  1. Theoretical/Methodological Research Papers

    1. Robust Measures of Complexity in TCBR

      • M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani
      Pages 270-284

    2. S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control

      • Brandon Rohrer
      Pages 285-297

    3. Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender

      • Maria Salamó, Sergio Escalera, Petia Radeva
      Pages 298-312

    4. Abstraction in Knowledge-Rich Models for Case-Based Planning

      • Antonio A. Sánchez-Ruiz, Pedro A. González-Calero, Belén Díaz-Agudo
      Pages 313-327

    5. A Scalable Noise Reduction Technique for Large Case-Based Systems

      • Nicola Segata, Enrico Blanzieri, Pádraig Cunningham
      Pages 328-342

    6. Conceptual Neighborhoods for Retrieval in Case-Based Reasoning

      • Ben G. Weber, Michael Mateas
      Pages 343-357

    7. CBR Supports Decision Analysis with Uncertainty

      • Ning Xiong, Peter Funk
      Pages 358-373

    8. Constraint-Based Case-Based Planning Using Weighted MAX-SAT

      • Hankui Zhuo, Qiang Yang, Lei Li
      Pages 374-388

  2. Applied Research Papers

    1. A Value Supplementation Method for Case Bases with Incomplete Information

      • Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
      Pages 389-402

    2. Efficiently Implementing Episodic Memory

      • Nate Derbinsky, John E. Laird
      Pages 403-417

    3. Integration of a Methodology for Cluster-Based Retrieval in jColibri

      • Albert Fornells, Juan Antonio Recio-García, Belén Díaz-Agudo, Elisabet Golobardes, Eduard Fornells
      Pages 418-433

    4. Case-Based Collective Inference for Maritime Object Classification

      • Kalyan Moy Gupta, David W. Aha, Philip Moore
      Pages 434-449

    5. Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study

      • Anders Kofod-Petersen, Agnar Aamodt
      Pages 450-464

    6. Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning

      • Hua Li, Héctor Muñoz-Avila, Diane Bramsen, Chad Hogg, Rafael Alonso
      Pages 465-478

    7. Case-Based Support for Forestry Decisions: How to See the Wood from the Trees

      • Conor Nugent, Derek Bridge, Glen Murphy, Bernt-HÃ¥vard Øyen
      Pages 479-493

    8. A Case-Based Perspective on Social Web Search

      • Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O’Mahony
      Pages 494-508

    9. Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge

      • Samad Valipour Shokouhi, Agnar Aamodt, PÃ¥l Skalle, Frode Sørmo
      Pages 509-523

  3. Back Matter

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  1. Case-Based Reasoning Research and Development

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About this book

This book constitutes the refereed proceedings of the 8th International Conference on Case-Based Reasoning, ICCBR 2009, held in Seattle, WA, USA, in July 2009. The 17 revised full papers and 17 revised poster papers presented together with 2 invited talks were carefully reviewed and selected from 55 submissions. Covering a wide range of CBR topics of interest both to practitioners and researchers, the papers are devoted to theoretical/methodological as well as to applicative aspects of current CBR analysis.

Editors and Affiliations

  • Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin,, Dublin 4, Ireland

    Lorraine McGinty

  • Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

    David C. Wilson

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