Case-Based Reasoning Research and Development [[electronic resource] ] : 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings / / edited by Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (XI, 446 p. 123 illus.)
• Disciplina: 153.43
• Soggetto topico: Artificial intelligence; Information storage and retrieval; Data mining; Application software; User interfaces (Computer systems); Computer communication systems; Artificial Intelligence; Information Storage and Retrieval; Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); User Interfaces and Human Computer Interaction; Computer Communication Networks
• Persona (resp. second.): GoelAshok; Díaz-AgudoM Belén; Roth-BerghoferThomas
• Nota di contenuto: 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 Analysis for 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Case-Based Reasoning Research and Development
• ISBN: 3-319-47096-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465654803316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 9969