Case-Based Reasoning Research and Development: 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings

Author:   Ashok Goel ,  M Belén Díaz-Agudo ,  Thomas Roth-Berghofer
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   9969
ISBN:  

9783319470955


Pages:   446
Publication Date:   29 September 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Case-Based Reasoning Research and Development: 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings


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Overview

This book constitutes the refereed proceedings of the 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, held in Atlanta, GA, USA, in October/November 2016. The 14 revised full papers presented were carefully reviewed and selected from 44 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.

Full Product Details

Author:   Ashok Goel ,  M Belén Díaz-Agudo ,  Thomas Roth-Berghofer
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   9969
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   6.905kg
ISBN:  

9783319470955


ISBN 10:   3319470957
Pages:   446
Publication Date:   29 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Searching Museum Routes using CBR,- Comparative Evaluation of Rule-Based and Case-Based Retrieval Coordination for Search of Architectural Building Designs,- Case Representation and Similarity Assessment in the selfBACK Decision Support System,- Accessibility-driven cooking system,- Inferring Users' Critiquing Feedback on Recommendations from Eye Movements.- Eager to be lazy: Towards a Complexity-guided Textual Case-Based Reasoning System.- Personalized Opinion-based Recommendation.- Concept Discovery and Argument Bundles in the Experience Web.- Incorporating Transparency During Trust-Guided Behavior Adaptation.- Inferring Student Coding Goals Using Abstract Syntax Trees.- Combining CBR and Deep Learning to Generate Surprising Recipe Designs.- Qualitative Case-based Reasoning for Humanoid Robot Soccer: a new retrieval and reuse algorithm.- Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical features.- Similarity Metrics from Social Network Analysisfor Content Recommender Systems.- Analogical Transfer in RDFS, Application to Cocktail Name Adaptation.- Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression.- Applicability of Case-based Reasoning for Selection of Cyanide-free Gold Leaching Methods.- Competence Guided Casebase Maintenance for Compositional Adaptation Applications.- On the Transferability of Process-oriented Cases.- Case Completion of Workows for Process-Oriented Case-Based Reasoning.- Refinement-based Similarity Measures for Directed Labeled Graphs.- FEATURE-TAK - Framework for Extraction, Analysis, and Transformation of Unstructured Textual Aircraft Knowledge.- Knowledge Extraction and Annotation for Cross-Domain Textual Case Based Reasoning in Biologically Inspired Design.- Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.- Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed.- Compositional Adaptation of Explanations in Textual Case-based Reasoning.- Relevance Matrix Generation using Sensitivity Analysis in a Case-Based Reasoning Environment.- Combining Case-Based Reasoning and Reinforcement Learning for Tactical Unit Selection in Real-Time Strategy Game AI.

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