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Intelligent Data Engineering and Automated Learning – IDEAL 2010

Overview of attention for book
Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2010'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Large Scale Instance Selection by Means of a Parallel Algorithm
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    Chapter 2 Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
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    Chapter 3 Intelligent Data Engineering and Automated Learning – IDEAL 2010
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    Chapter 4 Cost Optimization of a Localized Irrigation System Using Genetic Algorithms
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    Chapter 5 Dimension Reduction for Regression with Bottleneck Neural Networks
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    Chapter 6 Analysing Satellite Image Time Series by Means of Pattern Mining
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    Chapter 7 Sentences Generation by Frequent Parsing Patterns
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    Chapter 8 Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model
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    Chapter 9 On the Power of Topological Kernel in Microarray-Based Detection of Cancer
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    Chapter 10 An Evolutionary Multi-objective Optimization of Market Structures Using PBIL
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    Chapter 11 New Application of Graph Mining to Video Analysis
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    Chapter 12 Classification by Multiple Reducts-kNN with Confidence
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    Chapter 13 Towards Automatic Classification of Wikipedia Content
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    Chapter 14 Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data
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    Chapter 15 A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm
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    Chapter 16 Simplified Self-Adapting Skip Lists
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    Chapter 17 Multi-Agent Architecture with Support to Quality of Service and Quality of Control
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    Chapter 18 Robust 1-Norm Soft Margin Smooth Support Vector Machine
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    Chapter 19 A Generalization of Independence in Naive Bayes Model
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    Chapter 20 Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification
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    Chapter 21 Histogram Distance for Similarity Search in Large Time Series Database
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    Chapter 22 The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces
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    Chapter 23 Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
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    Chapter 24 The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach
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    Chapter 25 Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform
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    Chapter 26 Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System
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    Chapter 27 Annotation and Retrieval of Cell Images
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    Chapter 28 Adaptive Particle Swarm Optimizer for Feature Selection
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    Chapter 29 A Randomized Sphere Cover Classifier
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    Chapter 30 Directed Figure Codes with Weak Equality
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    Chapter 31 Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks
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    Chapter 32 Relevance of Contextual Information in Compression-Based Text Clustering
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    Chapter 33 Simple Deterministically Constructed Recurrent Neural Networks
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    Chapter 34 Non-negative Matrix Factorization Implementation Using Graphic Processing Units
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    Chapter 35 A Neighborhood-Based Clustering by Means of the Triangle Inequality
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    Chapter 36 Selection of Structures with Grid Optimization, in Multiagent Data Warehouse
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    Chapter 37 Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations
  39. Altmetric Badge
    Chapter 38 Learning Negotiation Policies Using IB3 and Bayesian Networks
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    Chapter 39 Trajectory Based Behavior Analysis for User Verification
  41. Altmetric Badge
    Chapter 40 Intelligent Data Engineering and Automated Learning – IDEAL 2010
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    Chapter 41 Clustering and Visualizing SOM Results
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    Chapter 42 A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors
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    Chapter 43 Evolution Strategies for Objective Functions with Locally Correlated Variables
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    Chapter 44 Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD
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    Chapter 45 Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm
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    Chapter 46 An Efficient Approach to Clustering Real-Estate Listings
  48. Altmetric Badge
    Chapter 47 Incremental Update of Cyclic Association Rules
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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 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
Intelligent Data Engineering and Automated Learning – IDEAL 2010
Published by
ADS, August 2010
DOI 10.1007/978-3-642-15381-5
ISBNs
978-3-64-215380-8, 978-3-64-215381-5
Editors

Fyfe, Colin, Tino, Peter, Charles, Darryl, Garcia-Osorio, Cesar, Yin, Hujun

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 %
Brazil 1 13%
Japan 1 13%
China 1 13%
Unknown 5 63%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 2 25%
Lecturer 1 13%
Student > Bachelor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Environmental Science 2 25%
Earth and Planetary Sciences 2 25%
Agricultural and Biological Sciences 1 13%
Design 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2017.
All research outputs
#4,653,658
of 23,001,641 outputs
Outputs from ADS
#4,510
of 37,435 outputs
Outputs of similar age
#19,521
of 95,298 outputs
Outputs of similar age from ADS
#59
of 396 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,435 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 87% 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 95,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.