Full Description
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
Contents
Case Base
Maintenance in Preference-based CBR.- Learning to Estimate: A Case-Based
Approach to Task Execution Prediction .- Case-based Policy and Goal
Recognition.- Adapting Sentiments with Context.- Aspect Selection for Social
Recommender Systems.- Music Recommendation: Audio Neighbourhoods to Discover
Music in the Long Tail.- Goal-Driven Autonomy with Semantically-annotated
Hierarchical Cases.- Evaluating a Textual Adaptation System.- Visual Case
Retrieval for Interpreting Skill Demonstrations.- Improving Trust-Guided
Behavior Adaptation Using Operator Feedback.- Top-Down Induction of Similarity
Measures Using Similarity Clouds.- Improving Case Retrieval Using Typicality.- CBR
Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation.- Addressing
the Cold-Start Problem in Facial Expression Recognition.- Flexible Feature
Deletion: Compacting Case Bases by Selectively Compressing Case Contents.- A
Case-Based Approach For Easing Schema Semantic Mapping.- Great Explanations:
Opinionated Explanations for Recommendation.- Learning and Applying Adaptation
Operators in Process-Oriented Case-Based Reasoning.- Fault Diagnosis via Fusion
of Information from a Case Stream.- Argument-based Case Revision in CBR for
Story Generation.- CBR Model for Predicting a Building's Electricity Use:
On-Line Implementation in the Absence of Historical Data.- Modelling
Hierarchical Relationships in Group Recommender Systems.- Semi-automatic
Knowledge Extraction from Semi-structured andUnstructured Data within the
OMAHA Project.- Evidence-Driven Retrieval in Textual CBR: Bridging the Gap
Between Retrieval and Reuse.- Maintaining and Analyzing Production Process Definitions
Using a Tree-Based Similarity Measure.- Case-Based Plan Recognition Under
Imperfect Observability.
