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Case-Based Reasoning Research and Development

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Cover of 'Case-Based Reasoning Research and Development'

Table of Contents

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    Book Overview
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    Chapter 1 Reasoning as Search: Supporting Reasoning with Distributed Memory
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    Chapter 2 Structure Mapping for Jeopardy! Clues
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    Chapter 3 Ontologies and Similarity
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    Chapter 4 Retrieval of Semantic Workflows with Knowledge Intensive Similarity Measures
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    Chapter 5 Qualitative vs. Quantitative Plan Diversity in Case-Based Planning
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    Chapter 6 On Dataset Complexity for Case Base Maintenance
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    Chapter 7 Improving Case Retrieval by Enrichment of the Domain Ontology
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    Chapter 8 Preference-Based CBR: First Steps toward a Methodological Framework
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    Chapter 9 How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage
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    Chapter 10 A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance
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    Chapter 11 Amalgam-Based Reuse for Multiagent Case-Based Reasoning
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    Chapter 12 The 4 Diabetes Support System: A Case Study in CBR Research and Development
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    Chapter 13 Learning More from Experience in Case-Based Reasoning
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    Chapter 14 Acquiring Adaptation Cases for Scientific Workflows
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    Chapter 15 Combining Expert Knowledge and Learning from Demonstration in Real-Time Strategy Games
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    Chapter 16 Selective Integration of Background Knowledge in TCBR Systems
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    Chapter 17 User Satisfaction in Long Term Group Recommendations
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    Chapter 18 Using Personality to Create Alliances in Group Recommender Systems
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    Chapter 19 Analogy-Making for Solving IQ Tests: A Logical View
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    Chapter 20 Using Case-Based Tests to Detect Gray Cygnets
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    Chapter 21 Recommending Case Bases: Applications in Social Web Search
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    Chapter 22 Measuring Similarity in Description Logics Using Refinement Operators
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    Chapter 23 Term Similarity and Weighting Framework for Text Representation
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    Chapter 24 Fast Subgraph Isomorphism Detection for Graph-Based Retrieval
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    Chapter 25 Representation, Indexing, and Retrieval of Biological Cases for Biologically Inspired Design
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    Chapter 26 Ontology-Aided Product Classification: A Nearest Neighbour Approach
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    Chapter 27 A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports
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    Chapter 28 CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation
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    Chapter 29 Comparison of Reuse Strategies for Case-Based Classification in Bioinformatics
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    Chapter 30 Integration of Sequence Learning and CBR for Complex Equipment Failure Prediction
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    Chapter 31 Time Series Case Based Reasoning for Image Categorisation
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    Chapter 32 CBRSHM – A Case-Based Decision Support System for Semi-Automated Assessment of Structures in Terms of Structural Health Monitoring
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    Chapter 33 A Case Base Planning Approach for Dialogue Generation in Digital Movie Design
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    Chapter 34 Successful Performance via Decision Generalisation in No Limit Texas Hold’em
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    Chapter 35 Rule-Based Impact Propagation for Trace Replay
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Title
Case-Based Reasoning Research and Development
Published by
Springer Berlin Heidelberg, February 2012
DOI 10.1007/978-3-642-23291-6
ISBNs
978-3-64-223290-9, 978-3-64-223291-6
Editors

Ram, Ashwin, Wiratunga, Nirmalie, Ram, Ashwin, Wiratunga, Nirmalie

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 27%
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Researcher 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 7 64%
Engineering 2 18%
Unknown 2 18%