Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings (Lecture Notes in Computer Science Book 9343)

This book constitutes the refereed proceedings of the 23rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015. The 26 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management Front Matter....Pages - Case Base Maintenance in Preference-Based CBR....Pages 1-14 Learning to Estimate: A Case-Based Approach to Task Execution Prediction....Pages 15-29 Case-Based Policy and Goal Recognition....Pages 30-43 Adapting Sentiments with Context....Pages 44-59 Aspect Selection for Social Recommender Systems....Pages 60-72 Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail....Pages 73-87 Goal-Driven Autonomy with Semantically-Annotated Hierarchical Cases....Pages 88-103 Evaluating a Textual Adaptation System....Pages 104-118 Visual Case Retrieval for Interpreting Skill Demonstrations....Pages 119-133 Improving Trust-Guided Behavior Adaptation Using Operator Feedback....Pages 134-148 Top-Down Induction of Similarity Measures Using Similarity Clouds....Pages 149-164 Improving Case Retrieval Using Typicality....Pages 165-180 CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation....Pages 181-196 Addressing the Cold-Start Problem in Facial Expression Recognition....Pages 197-211 Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents....Pages 212-227 A Case-Based Approach for Easing Schema Semantic Mapping....Pages 228-243 Great Explanations: Opinionated Explanations for Recommendations....Pages 244-258 Learning and Applying Adaptation Operators in Process-Oriented Case-Based Reasoning....Pages 259-274 Fault Diagnosis via Fusion of Information from a Case Stream....Pages 275-289 Argument-Based Case Revision in CBR for Story Generation....Pages 290-305 CBR Model for Predicting a Building’s Electricity Use: On-Line Implementation in the Absence of Historical Data....Pages 306-319 Modelling Hierarchical Relationships in Group Recommender Systems....Pages 320-335 Semi-automatic Knowledge Extraction from Semi-structured and Unstructured Data Within the OMAHA Project....Pages 336-350 Evidence-Driven Retrieval in Textual CBR: Bridging the Gap Between Retrieval and Reuse....Pages 351-365 Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure....Pages 366-380 Case-Based Plan Recognition Under Imperfect Observability....Pages 381-395 Back Matter....Pages -