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Case-Based Reasoning Research and Development

Overview of attention for book
Cover of 'Case-Based Reasoning Research and Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 We’re Wiser Together
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    Chapter 2 Black Swans, Gray Cygnets and Other Rare Birds
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    Chapter 3 Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions
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    Chapter 4 Case-Based Reasoning in Transfer Learning
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    Chapter 5 Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples
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    Chapter 6 Opportunistic Adaptation Knowledge Discovery
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    Chapter 7 Improving Reinforcement Learning by Using Case Based Heuristics
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    Chapter 8 Dimensions of Case-Based Reasoner Quality Management
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    Chapter 9 Belief Merging-Based Case Combination
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    Chapter 10 Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance
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    Chapter 11 The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing
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    Chapter 12 An Active Approach to Automatic Case Generation
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    Chapter 13 Four Heads Are Better than One: Combining Suggestions for Case Adaptation
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    Chapter 14 Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions
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    Chapter 15 Boosting CBR Agents with Genetic Algorithms
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    Chapter 16 Using Meta-reasoning to Improve the Performance of Case-Based Planning
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    Chapter 17 Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features
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    Chapter 18 On Similarity Measures Based on a Refinement Lattice
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    Chapter 19 An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval
  21. Altmetric Badge
    Chapter 20 Robust Measures of Complexity in TCBR
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    Chapter 21 S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
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    Chapter 22 Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
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    Chapter 23 Abstraction in Knowledge-Rich Models for Case-Based Planning
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    Chapter 24 A Scalable Noise Reduction Technique for Large Case-Based Systems
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    Chapter 25 Conceptual Neighborhoods for Retrieval in Case-Based Reasoning
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    Chapter 26 CBR Supports Decision Analysis with Uncertainty
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    Chapter 27 Constraint-Based Case-Based Planning Using Weighted MAX-SAT
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    Chapter 28 A Value Supplementation Method for Case Bases with Incomplete Information
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    Chapter 29 Efficiently Implementing Episodic Memory
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    Chapter 30 Integration of a Methodology for Cluster-Based Retrieval in jColibri
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    Chapter 31 Case-Based Collective Inference for Maritime Object Classification
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    Chapter 32 Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study
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    Chapter 33 Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
  35. Altmetric Badge
    Chapter 34 Case-Based Support for Forestry Decisions: How to See the Wood from the Trees
  36. Altmetric Badge
    Chapter 35 A Case-Based Perspective on Social Web Search
  37. Altmetric Badge
    Chapter 36 Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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Title
Case-Based Reasoning Research and Development
Published by
ADS, July 2009
DOI 10.1007/978-3-642-02998-1
ISBNs
978-3-64-202997-4, 978-3-64-202998-1
Editors

McGinty, Lorraine, Wilson, David C.

X Demographics

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 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Brazil 6 3%
United Kingdom 3 1%
Germany 2 <1%
France 2 <1%
Ireland 2 <1%
Norway 2 <1%
Spain 2 <1%
Switzerland 1 <1%
Other 8 3%
Unknown 203 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 24%
Student > Master 49 21%
Researcher 29 12%
Student > Bachelor 16 7%
Student > Doctoral Student 13 5%
Other 49 21%
Unknown 24 10%
Readers by discipline Count As %
Computer Science 143 60%
Engineering 29 12%
Social Sciences 8 3%
Business, Management and Accounting 5 2%
Psychology 4 2%
Other 18 8%
Unknown 31 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2022.
All research outputs
#19,902,159
of 24,457,696 outputs
Outputs from ADS
#31,594
of 37,170 outputs
Outputs of similar age
#106,464
of 115,342 outputs
Outputs of similar age from ADS
#287
of 320 outputs
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So far Altmetric has tracked 37,170 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 320 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.