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Case-Based Reasoning Research and Development

26th International Conference, ICCBR 2018, Stockholm, Sweden, July 9-12, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Michael T. Cox

    1. Wright State University, Dayton, USA

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  2. Peter Funk

    1. Mälardalen University, Västeras, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  3. Shahina Begum

    1. Mälardalen University, Västeras, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11156)

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

Included in the following conference series:

Conference proceedings info: ICCBR 2018.

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Table of contents (40 papers)

  1. Front Matter

    Pages I-XIV
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  2. Invited Paper

    1. Front Matter

      Pages 1-1
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    2. Adaptive Goal Driven Autonomy

      • Héctor Muñoz-Avila
      Pages 3-12

  3. Main Technical Papers

    1. Front Matter

      Pages 13-13
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    2. Answering with Cases: A CBR Approach to Deep Learning

      • Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis
      Pages 15-27

    3. CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory

      • Safa Ben Ayed, Zied Elouedi, Eric Lefèvre
      Pages 28-44

    4. The Case for Case Based Learning

      • Isabelle Bichindaritz
      Pages 45-61

    5. Case Based Reasoning as a Model for Cognitive Artificial Intelligence

      • Susan Craw, Agnar Aamodt
      Pages 62-77

    6. Explainable Distributed Case-Based Support Systems: Patterns for Enhancement and Validation of Design Recommendations

      • Viktor Eisenstadt, Christian Espinoza-Stapelfeld, Ada Mikyas, Klaus-Dieter Althoff
      Pages 78-94

    7. Tangent Recognition and Anomaly Pruning to TRAP Off-Topic Questions in Conversational Case-Based Dialogues

      • Vahid B. Eyorokon, Pratyusha Yalamanchili, Michael T. Cox
      Pages 95-109

    8. Combining Case-Based Reasoning with Complex Event Processing for Network Traffic Classification

      • Manuel Grob, Martin Kappes, Inmaculada Medina-Bulo
      Pages 110-123

    9. AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

      • Julien Henriet, Françoise Greffier
      Pages 124-139

    10. A Textual Recommender System for Clinical Data

      • Philipp Andreas Hummel, Frank Jäkel, Sascha Lange, Roland Mertelsmann
      Pages 140-152

    11. Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale

      • Vahid Jalali, David Leake
      Pages 153-169

    12. Case Base Elicitation for a Context-Aware Recommender System

      • Jose Luis Jorro-Aragoneses, Guillermo Jimenez-Díaz, Juan Antonio Recio-García, Belén Díaz-Agudo
      Pages 170-185

    13. The SECCO Ontology for the Retrieval and Generation of Security Concepts

      • Andreas Korger, Joachim Baumeister
      Pages 186-201

    14. Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases

      • David Leake, Brian Schack
      Pages 202-218

    15. Dynamic Detection of Radical Profiles in Social Networks Using Image Feature Descriptors and a Case-Based Reasoning Methodology

      • Daniel López-Sánchez, Juan M. Corchado, Angélica González Arrieta
      Pages 219-232

    16. Segmentation of Kidneys Deformed by Nephroblastoma Using Case-Based Reasoning

      • Florent Marie, Lisa Corbat, Thibault Delavelle, Yann Chaussy, Julien Henriet, Jean-Christophe Lapayre
      Pages 233-248

    17. FITsense: Employing Multi-modal Sensors in Smart Homes to Predict Falls

      • Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton
      Pages 249-263
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About this book

This book constitutes the refereed proceedings of the 26th International Conference on Case-Based Reasoning Research and Development, ICCBR 2018, held in Stockholm, Sweden, in July 2018.

The 39 full papers presented in this book were carefully reviewed and selected from 77 submissions. The theme of ICCBR-2017, "The Future of CBR", was highlighted by several activities.

These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction. Topics included multiple papers on textual CBR and a number of cognitive and human oriented papers as well as hybrid research between CBR and machine learning.

Editors and Affiliations

  • Wright State University, Dayton, USA

    Michael T. Cox

  • Mälardalen University, Västeras, Sweden

    Peter Funk, Shahina Begum

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