LEADER 06521nam 22008295 450 001 996465877903316 005 20200629192246.0 010 $a3-642-23291-4 024 7 $a10.1007/978-3-642-23291-6 035 $a(CKB)3400000000025651 035 $a(SSID)ssj0000665984 035 $a(PQKBManifestationID)11378652 035 $a(PQKBTitleCode)TC0000665984 035 $a(PQKBWorkID)10646672 035 $a(PQKB)11549411 035 $a(DE-He213)978-3-642-23291-6 035 $a(MiAaPQ)EBC6283703 035 $a(MiAaPQ)EBC5585192 035 $a(Au-PeEL)EBL5585192 035 $a(OCoLC)1066178898 035 $a(PPN)159084458 035 $a(EXLCZ)993400000000025651 100 $a20120204d2011 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aCase-Based Reasoning Research and Development$b[electronic resource] $e19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011, Proceedings /$fedited by Ashwin Ram, Nirmalie Wiratunga 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (XI, 498 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6880 300 $aIncludes index. 311 $a3-642-23290-6 327 $aReasoning as Search: Supporting Reasoning with Distributed Memory -- Structure Mapping for Jeopardy! Clues -- Ontologies and Similarity -- Retrieval of Semantic Workflows with Knowledge Intensive Similarity Measures -- Qualitative vs. Quantitative Plan Diversity in Case-Based Planning -- On Dataset Complexity for Case Base Maintenance -- Improving Case Retrieval by Enrichment of the Domain Ontology -- Preference-Based CBR: First Steps toward a Methodological Framework -- How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage -- A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance -- Amalgam-Based Reuse for Multiagent Case-Based Reasoning -- The 4 Diabetes Support System: A Case Study in CBR Research and Development -- Learning More from Experience in Case-Based Reasoning -- Acquiring Adaptation Cases for Scientific Workflows -- Combining Expert Knowledge and Learning from Demonstration in Real-Time Strategy Games -- Selective Integration of Background Knowledge in TCBR Systems -- User Satisfaction in Long Term Group Recommendations -- Using Personality to Create Alliances in Group Recommender Systems -- Analogy-Making for Solving IQ Tests: A Logical View -- Using Case-Based Tests to Detect Gray Cygnets -- Recommending Case Bases: Applications in Social Web Search -- Measuring Similarity in Description Logics Using Refinement Operators -- Term Similarity and Weighting Framework for Text Representation -- Fast Subgraph Isomorphism Detection for Graph-Based Retrieval -- Representation, Indexing, and Retrieval of Biological Cases for Biologically Inspired Design -- Ontology-Aided Product Classification: A Nearest Neighbour Approach -- A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports -- CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation -- Comparison of Reuse Strategies for Case-Based Classification in Bioinformatics -- Integration of Sequence Learning and CBR for Complex Equipment Failure Prediction -- Time Series Case Based Reasoning for Image Categorisation -- CBRSHM ? A Case-Based Decision Support System for Semi-Automated Assessment of Structures in Terms of Structural Health Monitoring -- A Case Base Planning Approach for Dialogue Generation in Digital Movie Design -- Successful Performance via Decision Generalisation in No Limit Texas Hold?em -- Rule-Based Impact Propagation for Trace Replay.  . 330 $aThis book constitutes the refereed proceedings of the 19th International Conference on Case-Based Reasoning, held in London, UK, in September 2011. The 32 contributions presented together with 3 invited talks were carefully reviewd and selected from 67 submissions. The presentations and posters covered a wide range of CBR topics of interest both to practitioners and researchers, including CBR methodology covering case representation, similarity, retrieval, and adaptation; provenance and maintenance; recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning systems. 410 0$aLecture Notes in Artificial Intelligence ;$v6880 606 $aArtificial intelligence 606 $aApplication software 606 $aInformation storage and retrieval 606 $aDatabase management 606 $aComputer communication systems 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aDatabase management. 615 0$aComputer communication systems. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 615 24$aComputer Communication Networks. 615 24$aData Mining and Knowledge Discovery. 676 $a153.43 702 $aRam$b Ashwin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWiratunga$b Nirmalie$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465877903316 996 $aCase-Based Reasoning Research and Development$9771966 997 $aUNISA