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Research and Development in Intelligent Systems XXV

Overview of attention for book
Cover of 'Research and Development in Intelligent Systems XXV'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On the Classification Performance of TAN and General Bayesian Networks
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    Chapter 2 Code Tagging and Similarity-based Retrieval with myCBR
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    Chapter 3 Sparse Representations for Pattern Classification using Learned Dictionaries
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    Chapter 4 Qualitative Hidden Markov Models for Classifying Gene Expression Data
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    Chapter 5 Description Identification and the Consistency Problem
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    Chapter 6 Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs
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    Chapter 7 Restart-Based Genetic Algorithm for the Quadratic Assignment Problem
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    Chapter 8 Constraint Satisfaction and Fixes: Revisiting Sisyphus VT
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    Chapter 9 On a Control Parameter Free Optimization Algorithm
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    Chapter 10 PISA — Pooling Information from Several Agents: Multiplayer Argumentation from Experience
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    Chapter 11 Agent-Based Negotiation in Uncertain Environments
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    Chapter 12 Automated Bilateral Negotiation and Bargaining Impasse
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    Chapter 13 Exploring Design Space For An Integrated Intelligent System
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    Chapter 14 A User-Extensible and Adaptable Parser Architecture
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    Chapter 15 The Reactive-Causal Architecture: Introducing an Emotion Model along with Theories of Needs
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    Chapter 16 Automation of the Solution of Kakuro Puzzles
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    Chapter 17 The Bayesian Learning Automaton — Empirical Evaluation with Two-Armed Bernoulli Bandit Problems
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    Chapter 18 Discovering Implicit Intention-Level Knowledge from Natural-Language Texts
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    Chapter 19 EMADS: An Extendible Multi-Agent Data Miner
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    Chapter 20 Designing a Feedback Component of an Intelligent Tutoring System for Foreign Language
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    Chapter 21 An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data
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    Chapter 22 Polarity Assignment to Causal Information Extracted from Financial Articles Concerning Business Performance of Companies
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    Chapter 23 Redux exp : An Open-source Justification-based Explanation Support Server
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    Chapter 24 Immunity-based hybrid evolutionary algorithm for multi-objective optimization
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    Chapter 25 Parallel Induction of Modular Classification Rules
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    Chapter 26 Transform Ranking: a New Method of Fitness Scaling in Genetic Algorithms
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    Chapter 27 Architecture of Knowledge-based Function Approximator
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    Chapter 28 Applying Planning Algorithms to Argue in Cooperative Work
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    Chapter 29 Universum Inference and Corpus Homogeneity
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
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Research and Development in Intelligent Systems XXV
Published by
ADS, May 2010
DOI 10.1007/978-1-84882-171-2
ISBNs
978-1-84882-170-5, 978-1-84882-171-2
Editors

Max Bramer, Miltos Petridis, Frans Coenen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Researcher 2 20%
Student > Master 2 20%
Professor 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Engineering 2 20%
Arts and Humanities 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2014.
All research outputs
#4,759,175
of 23,031,582 outputs
Outputs from ADS
#4,576
of 37,458 outputs
Outputs of similar age
#19,872
of 96,523 outputs
Outputs of similar age from ADS
#49
of 351 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,458 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 96,523 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.