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001 | 978-3-319-47096-2 | ||
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008 | 160928s2016 sz | s |||| 0|eng d | ||
020 |
_a9783319470962 _9978-3-319-47096-2 |
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024 | 7 |
_a10.1007/978-3-319-47096-2 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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_aCase-Based Reasoning Research and Development _h[electronic resource] : _b24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings / _cedited by Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXI, 446 p. 123 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9969 |
|
505 | 0 | _aSearching 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. | |
520 | _aThis 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. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aData mining. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aHuman-computer interaction. | |
650 | 0 | _aComputer networks . | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
650 | 2 | 4 | _aComputer Communication Networks. |
700 | 1 |
_aGoel, Ashok. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aDíaz-Agudo, M Belén. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRoth-Berghofer, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319470955 |
776 | 0 | 8 |
_iPrinted edition: _z9783319470979 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9969 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-47096-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
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999 |
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