Case-Based Reasoning Research and Development (eBook, PDF)

22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014 - October 1, 2014. Proceedings
Redaktion: Lamontagne, Luc; Plaza, Enric

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 21st International Conference on Case-Based Reasoning Research and Development (ICCBR 2014) held in Cork, Ireland, in September 2014. The 35 revised full papers presented were carefully reviewed and selected from 49 submissions. The presentations cover a wide range of CBR topics of interest both to researchers and practitioners including case retrieval and adaptation, similarity assessment, case base maintenance, knowledge management, recommender systems, multiagent systems, textual CBR, and applications to healthcare and computer games.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 542
• Erscheinungstermin: 22. September 2014
• Englisch
• ISBN-13: 9783319112091
• Artikelnr.: 44122374

Inhaltsangabe

What I Talk About when I Talk About CBR.- Running with Scissors: Cut-Ups, Boundary Friction and Creative Reuse.- Learning Solution Similarity in Preference-based CBR.- Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams.- Automatic Case Capturing for Problematic Drilling Situations.- Algorithm for Adapting Cases Represented in a Tractable Description Logic.- Sentiment and Preference Guided Social Recommendation.- A Hybrid CBR-ANN Approach to the Appraisal of Internet Domain Names.- Further Experiments in Opinionated Product Recommendation.- How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust.- Tuuurbine: A Generic CBR Engine Over RDFS.- How case-based reasoning on e-community knowledge can be improved thanks to knowledge reliability.- Case-Based Object Placement Planning.- On the Role of Analogy in Resolving Cognitive Dissonance in Collaborative Interdisciplinary Design.- Case-Based Prediction of Teen Driver Behavior and Skill. Adapting propositional cases based on tableaux repairs using adaptation knowledge.