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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

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Preference-Based CBR: A Search-Based Problem Solving Framework
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    Chapter 2 Applying MapReduce to Learning User Preferences in Near Real-Time
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    Chapter 3 Case-Based Goal Selection Inspired by IBM’s Watson
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    Chapter 4 Opinionated Product Recommendation
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    Chapter 5 Mining Features and Sentiment from Review Experiences
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    Chapter 6 Multi-Agent, Multi-Case-Based Reasoning
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    Chapter 7 Case-Based Learning of Applicability Conditions for Stochastic Explanations
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    Chapter 8 Case-Based Reasoning on E-Community Knowledge
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    Chapter 9 On the Plan-Library Maintenance Problem in a Case-Based Planner
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    Chapter 10 Learning Feature Weights from Positive Cases
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    Chapter 11 User Perceptions of Relevance and Its Effect on Retrieval in a Smart Textile Archive
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    Chapter 12 Case-Based Goal-Driven Coordination of Multiple Learning Agents
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    Chapter 13 On Deriving Adaptation Rule Confidence from the Rule Generation Process
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    Chapter 14 Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules
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    Chapter 15 iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer
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    Chapter 16 A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance
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    Chapter 17 Mining and Retrieving Medical Processes to Assess the Quality of Care
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    Chapter 18 Leveraging Historical Experience to Evaluate and Adapt Courses of Action
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    Chapter 19 The COLIBRI Open Platform for the Reproducibility of CBR Applications
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    Chapter 20 Refinement-Based Similarity Measure over DL Conjunctive Queries
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    Chapter 21 Should Term-Relatedness Be Used in Text Representation?
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    Chapter 22 Recommending Audio Mixing Workflows
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    Chapter 23 An Agent Based Framework for Multiple, Heterogeneous Case Based Reasoning
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    Chapter 24 Learning-Based Adaptation for Personalized Mobility Assistance
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    Chapter 25 Biological Solutions for Engineering Problems: A Study in Cross-Domain Textual Case-Based Reasoning
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    Chapter 26 Similarity Measures to Compare Episodes in Modeled Traces
Overall attention for this book and its chapters
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Citations

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Title
Case-Based Reasoning Research and Development
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-39056-2
ISBNs
978-3-64-239055-5, 978-3-64-239056-2
Authors

Delany, Sarah Jane, Ontañón, Santiago

Editors

Sarah Jane Delany, Santiago Ontañón

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

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 4 2%
France 3 2%
Brazil 3 2%
Ireland 2 1%
Germany 2 1%
Switzerland 2 1%
Sweden 1 <1%
Austria 1 <1%
Other 8 4%
Unknown 169 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 27%
Student > Master 52 26%
Researcher 21 11%
Professor > Associate Professor 13 7%
Student > Bachelor 12 6%
Other 48 24%
Readers by discipline Count As %
Computer Science 137 69%
Engineering 23 12%
Unspecified 11 6%
Social Sciences 7 4%
Business, Management and Accounting 4 2%
Other 17 9%
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 28 April 2017.
All research outputs
#18,818,439
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#6,047
of 8,159 outputs
Outputs of similar age
#221,125
of 283,807 outputs
Outputs of similar age from Lecture notes in computer science
#249
of 316 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.