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Research and Development in Intelligent Systems XXVII

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

Table of Contents

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    Book Overview
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    Chapter 1 Effective Product Recommendation using the Real-Time Web
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    Chapter 2 Agent Argumentation with Opinions and Advice
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    Chapter 3 Graph-Based Norm Explanation
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    Chapter 4 Modelling Social Structures and Hierarchies in Language Evolution
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    Chapter 5 On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining
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    Chapter 6 Research and Development in Intelligent Systems XXVII : Incorporating Applications and Innovations in Intelligent Systems XVIII Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
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    Chapter 7 A Kolmogorov Complexity View of Analogy: From Logical Modeling to Experimentations
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    Chapter 8 Evolving Temporal Association Rules with Genetic Algorithms
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    Chapter 9 PIPSS*: A System based on Temporal Estimates
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    Chapter 10 Extending SATPLAN to Multiple Agents
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    Chapter 11 A New Approach for Partitional Clustering Using Entropy Notation and Hopfield Network
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    Chapter 12 Hierarchical Traces for Reduced NSM Memory Requirements
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    Chapter 13 On Reinforcement Memory for Non-Markovian Control
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    Chapter 14 A Fast Approximated Evolutionary Approach to Improve SVM Accuracy
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    Chapter 15 A Particle Swarm Optimization Approach for the Case Retrieval Stage in CBR
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    Chapter 16 Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms
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    Chapter 17 Discretisation Does Affect the Performance of Bayesian Networks
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    Chapter 18 A Structural Approach to Sensor Placement based on Symbolic Compilation of the Model
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    Chapter 19 Artificial Immunity Based Cooperative Sustainment Framework for Multi-Agent Systems
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    Chapter 20 The Mining and Analysis Continuum of Explaining Uncovered
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    Chapter 21 Genetic Folding: A New Class of Evolutionary Algorithms
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    Chapter 22 SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases
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    Chapter 23 Artificial Intelligence Techniques for the Berth Allocation and Container Stacking Problems in Container Terminals
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    Chapter 24 Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps
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    Chapter 25 Retinal Image Classification for the Screening of Age-Related Macular Degeneration
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    Chapter 26 An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition
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    Chapter 27 Self-Adaptive Stepsize Search Applied to Optimal Structural Design
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    Chapter 28 Health Problems Discovery from Motion-Capture Data of Elderly
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    Chapter 29 Selecting Features in Origin Analysis
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    Chapter 30 An Extended Deterministic Dendritic Cell Algorithm for Dynamic Job Shop Scheduling
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    Chapter 31 Reinforcement Learning for Scheduling of Maintenance
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    Chapter 32 Genetic Evolution and Adaptation of Advanced Protocols for Ad Hoc Network Hardware Systems
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    Chapter 33 The Next Generation of Legal Expert Systems - New Dawn or False Dawn?
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    Chapter 34 Incorporating Semantics into Data Driven Workflows for Content Based Analysis
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    Chapter 35 GhostWriter-2.0: Product Reviews with Case-Based Support
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    Chapter 36 Dynamic Programming Algorithm vs. Genetic Algorithm: Which is Faster?
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    Chapter 37 Automatic Detection of Pectoral Muscle with the Maximum Intensity Change Algorithm
Overall attention for this book and its chapters
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Mentioned by

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2 X users

Citations

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Readers on

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12 Mendeley
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Title
Research and Development in Intelligent Systems XXVII
Published by
ADS, November 2010
DOI 10.1007/978-0-85729-130-1
ISBNs
978-0-85729-129-5, 978-0-85729-130-1
Editors

Bramer, Max, Petridis, Miltos, Hopgood, Adrian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Master 2 17%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 5 42%
Agricultural and Biological Sciences 1 8%
Earth and Planetary Sciences 1 8%
Energy 1 8%
Engineering 1 8%
Other 0 0%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 February 2016.
All research outputs
#14,979,439
of 23,041,514 outputs
Outputs from ADS
#27,977
of 37,451 outputs
Outputs of similar age
#80,137
of 101,232 outputs
Outputs of similar age from ADS
#262
of 321 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 24th percentile – i.e., 24% 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 101,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.