Case-Based Reasoning Research and Development

Table of Contents

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   Book Overview
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   Chapter 1 Preference-Based CBR: A Search-Based Problem Solving Framework
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   Chapter 2 Applying MapReduce to Learning User Preferences in Near Real-Time
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   Chapter 3 Case-Based Goal Selection Inspired by IBM’s Watson
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   Chapter 4 Opinionated Product Recommendation
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   Chapter 5 Mining Features and Sentiment from Review Experiences
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   Chapter 6 Multi-Agent, Multi-Case-Based Reasoning
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   Chapter 7 Case-Based Learning of Applicability Conditions for Stochastic Explanations
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   Chapter 8 Case-Based Reasoning on E-Community Knowledge
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    Chapter 9 On the Plan-Library Maintenance Problem in a Case-Based Planner
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    Chapter 10 Learning Feature Weights from Positive Cases
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    Chapter 11 User Perceptions of Relevance and Its Effect on Retrieval in a Smart Textile Archive
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    Chapter 12 Case-Based Goal-Driven Coordination of Multiple Learning Agents
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    Chapter 13 On Deriving Adaptation Rule Confidence from the Rule Generation Process
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    Chapter 14 Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules
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    Chapter 15 iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer
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    Chapter 16 A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance
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    Chapter 17 Mining and Retrieving Medical Processes to Assess the Quality of Care
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    Chapter 18 Leveraging Historical Experience to Evaluate and Adapt Courses of Action
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    Chapter 19 The COLIBRI Open Platform for the Reproducibility of CBR Applications
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    Chapter 20 Refinement-Based Similarity Measure over DL Conjunctive Queries
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    Chapter 21 Should Term-Relatedness Be Used in Text Representation?
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    Chapter 22 Recommending Audio Mixing Workflows
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    Chapter 23 An Agent Based Framework for Multiple, Heterogeneous Case Based Reasoning
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    Chapter 24 Learning-Based Adaptation for Personalized Mobility Assistance
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    Chapter 25 Biological Solutions for Engineering Problems: A Study in Cross-Domain Textual Case-Based Reasoning
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    Chapter 26 Similarity Measures to Compare Episodes in Modeled Traces