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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 Searching Museum Routes Using CBR
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    Chapter 2 Comparative Evaluation of Rule-Based and Case-Based Retrieval Coordination for Search of Architectural Building Designs
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    Chapter 3 Case Representation and Similarity Assessment in the selfBACK Decision Support System
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    Chapter 4 Accessibility-Driven Cooking System
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    Chapter 5 Inferring Users’ Critiquing Feedback on Recommendations from Eye Movements
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    Chapter 6 Eager to be Lazy: Towards a Complexity-guided Textual Case-Based Reasoning System
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    Chapter 7 Personalized Opinion-Based Recommendation
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    Chapter 8 Concept Discovery and Argument Bundles in the Experience Web
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    Chapter 9 Incorporating Transparency During Trust-Guided Behavior Adaptation
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    Chapter 10 Inferring Student Coding Goals Using Abstract Syntax Trees
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    Chapter 11 Combining CBR and Deep Learning to Generate Surprising Recipe Designs
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    Chapter 12 Qualitative Case-Based Reasoning for Humanoid Robot Soccer: A New Retrieval and Reuse Algorithm
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    Chapter 13 Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features
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    Chapter 14 Similarity Metrics from Social Network Analysis for Content Recommender Systems
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    Chapter 15 Analogical Transfer in RDFS, Application to Cocktail Name Adaptation
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    Chapter 16 Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression
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    Chapter 17 Applicability of Case-Based Reasoning for Selection of Cyanide-Free Gold Leaching Methods
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    Chapter 18 Competence Guided Casebase Maintenance for Compositional Adaptation Applications
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    Chapter 19 On the Transferability of Process-Oriented Cases
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    Chapter 20 Case Completion of Workflows for Process-Oriented Case-Based Reasoning
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    Chapter 21 Refinement-Based Similarity Measures for Directed Labeled Graphs
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    Chapter 22 FEATURE-TAK - Framework for Extraction, Analysis, and Transformation of Unstructured Textual Aircraft Knowledge
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    Chapter 23 Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design
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    Chapter 24 Predicting the Electricity Consumption of Buildings: An Improved CBR Approach
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    Chapter 25 Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed
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    Chapter 26 Compositional Adaptation of Explanations in Textual Case-Based Reasoning
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    Chapter 27 Relevance Matrix Generation Using Sensitivity Analysis in a Case-Based Reasoning Environment
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    Chapter 28 Combining Case-Based Reasoning and Reinforcement Learning for Tactical Unit Selection in Real-Time Strategy Game AI
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    Chapter 29 Defining the Initial Case-Base for a CBR Operator Support System in Digital Finishing
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Case-Based Reasoning Research and Development
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-47096-2
ISBNs
978-3-31-947095-5, 978-3-31-947096-2
Editors

Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Researcher 1 13%
Lecturer 1 13%
Student > Postgraduate 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Computer Science 1 13%
Psychology 1 13%
Physics and Astronomy 1 13%
Engineering 1 13%
Other 0 0%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 18 October 2020.
All research outputs
#2,009,005
of 23,567,572 outputs
Outputs from Lecture notes in computer science
#349
of 8,153 outputs
Outputs of similar age
#36,025
of 396,838 outputs
Outputs of similar age from Lecture notes in computer science
#78
of 583 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 95% of its peers.
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 396,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.