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Intelligent Data Engineering and Automated Learning – IDEAL 2004

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Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2004'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric
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    Chapter 2 A Novel Hybrid GA/SVM System for Protein Sequences Classification
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    Chapter 3 Building Genetic Networks for Gene Expression Patterns
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    Chapter 4 SVM-Based Classification of Distant Proteins Using Hierarchical Motifs
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    Chapter 5 Knowledge Discovery in Lymphoma Cancer from Gene–Expression
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    Chapter 6 A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces
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    Chapter 7 Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines
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    Chapter 8 An Assessment of Feature Relevance in Predicting Protein Function from Sequence
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    Chapter 9 A New Artificial Immune System Algorithm for Clustering
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    Chapter 10 The Categorisation of Similar Non-rigid Biological Objects by Clustering Local Appearance Patches
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    Chapter 11 Unsupervised Dense Regions Discovery in DNA Microarray Data
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    Chapter 12 Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
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    Chapter 13 Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
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    Chapter 14 Exploring Dependencies Between Yeast Stress Genes and Their Regulators
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    Chapter 15 Poly-transformation
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    Chapter 16 Prediction of Natively Disordered Regions in Proteins Using a Bio-basis Function Neural Network
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    Chapter 17 The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System
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    Chapter 18 PromSearch: A Hybrid Approach to Human Core-Promoter Prediction
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    Chapter 19 Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification
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    Chapter 20 Deterministic Propagation of Blood Pressure Waveform from Human Wrists to Fingertips
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    Chapter 21 Pre-pruning Decision Trees by Local Association Rules
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    Chapter 22 A New Approach for Selecting Attributes Based on Rough Set Theory
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    Chapter 23 A Framework for Mining Association Rules in Data Warehouses
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    Chapter 24 Intelligent Web Service Discovery in Large Distributed System
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    Chapter 25 The Application of K-Medoids and PAM to the Clustering of Rules
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    Chapter 26 A Comparison of Texture Teatures for the Classification of Rock Images
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    Chapter 27 A Mixture of Experts Image Enhancement Scheme for CCTV Images
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    Chapter 28 Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query
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    Chapter 29 Unsupervised Segmentation on Image with JSEG Using Soft Class Map
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    Chapter 30 DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets
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    Chapter 31 A Fuzzy Set Based Trust and Reputation Model in P2P Networks
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    Chapter 32 Video Based Human Behavior Identification Using Frequency Domain Analysis
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    Chapter 33 Mobile Data Mining by Location Dependencies
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    Chapter 34 An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution
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    Chapter 35 On a Detection of Korean Prosody Phrases Boundaries
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    Chapter 36 A Collision Avoidance System for Autonomous Ship Using Fuzzy Relational Products and COLREGs
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    Chapter 37 Engineering Knowledge Discovery in Network Intrusion Detection
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    Chapter 38 False Alarm Classification Model for Network-Based Intrusion Detection System
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    Chapter 39 Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
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    Chapter 40 Surface Spatial Index Structure of High-Dimensional Space
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    Chapter 41 Generating and Applying Rules for Interval Valued Fuzzy Observations
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    Chapter 42 Automatic Video Shot Boundary Detection Using Machine Learning
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    Chapter 43 On Building XML Data Warehouses
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    Chapter 44 A Novel Method for Mining Frequent Subtrees from XML Data
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    Chapter 45 Mining Association Rules Using Relative Confidence
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    Chapter 46 Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks
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    Chapter 47 An Effective Distributed Privacy-Preserving Data Mining Algorithm
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    Chapter 48 Dimensionality Reduction with Image Data
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    Chapter 49 Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles
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    Chapter 50 Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling
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    Chapter 51 Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms
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    Chapter 52 PRICES: An Efficient Algorithm for Mining Association Rules
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    Chapter 53 Combination of SVM Knowledge for Microcalcification Detection in Digital Mammograms
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    Chapter 54 Char : An Automatic Way to Describe Characteristics of Data
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    Chapter 55 Two Methods for Automatic 3D Reconstruction from Long Un-calibrated Sequences
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    Chapter 56 Wrapper for Ranking Feature Selection
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    Chapter 57 Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search
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    Chapter 58 Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns
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    Chapter 59 Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
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    Chapter 60 Comparing Study for Detecting Microcalcifications in Digital Mammogram Using Wavelets
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    Chapter 61 A Hybrid Multi-layered Speaker Independent Arabic Phoneme Identification System
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    Chapter 62 Feature Selection for Natural Disaster Texts Classification Using Testors
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    Chapter 63 Mining Large Engineering Data Sets on the Grid Using AURA
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    Chapter 64 Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems
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    Chapter 65 Ontology-Based Web Navigation Assistant
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    Chapter 66 A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis
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    Chapter 67 Combining Rules for Text Categorization Using Dempster’s Rule of Combination
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    Chapter 68 Genetic Program Based Data Mining for Fuzzy Decision Trees
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    Chapter 69 Automating Co-evolutionary Data Mining
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    Chapter 70 Topological Tree for Web Organisation, Discovery and Exploration
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    Chapter 71 New Medical Diagnostic Method for Oriental Medicine Using BYY Harmony Learning
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    Chapter 72 An Intelligent Topic-Specific Crawler Using Degree of Relevance
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    Chapter 73 Development of a Global and Integral Model of Business Management Using an Unsupervised Model
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    Chapter 74 Spam Mail Detection Using Artificial Neural Network and Bayesian Filter
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    Chapter 75 An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images
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    Chapter 76 Using Fuzzy Sets in Contextual Word Similarity
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    Chapter 77 Summarizing Time Series: Learning Patterns in ‘Volatile’ Series
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    Chapter 78 Cosine Transform Priors for Enhanced Decoding of Compressed Images
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    Chapter 79 Partial Discharge Classification Through Wavelet Packets of Their Modulated Ultrasonic Emission
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    Chapter 80 Intelligent Data Engineering and Automated Learning – IDEAL 2004
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    Chapter 81 Cluster-Based Visualisation of Marketing Data
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    Chapter 82 Dynamic Symbolization of Streaming Time Series
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    Chapter 83 A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment
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    Chapter 84 An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses
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    Chapter 85 Spam Classification Using Nearest Neighbour Techniques
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    Chapter 86 Intelligent Data Engineering and Automated Learning – IDEAL 2004
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    Chapter 87 Orthogonal Least Square with Boosting for Regression
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    Chapter 88 New Applications for Object Recognition and Affine Motion Estimation by Independent Component Analysis
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    Chapter 89 Personalized News Reading via Hybrid Learning
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    Chapter 90 Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters
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    Chapter 91 DIVACE: Diverse and Accurate Ensemble Learning Algorithm
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    Chapter 92 Parallel Processing for Movement Detection in Neural Networks with Nonlinear Functions
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    Chapter 93 Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions
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    Chapter 94 Finding Minimal Addition Chains Using Ant Colony
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    Chapter 95 Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
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    Chapter 96 A Variable Metric Probabilistic k-Nearest-Neighbours Classifier
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    Chapter 97 Feature Word Tracking in Time Series Documents
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    Chapter 98 Combining Gaussian Mixture Models
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    Chapter 99 Global Convergence of Steepest Descent for Quadratic Functions
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    Chapter 100 Boosting Orthogonal Least Squares Regression
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    Chapter 101 Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition
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    Chapter 102 Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection
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    Chapter 103 Improving Support Vector Solutions by Selecting a Sequence of Training Subsets
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    Chapter 104 Machine Learning for Matching Astronomy Catalogues
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    Chapter 105 Boosting the Tree Augmented Naïve Bayes Classifier
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    Chapter 106 Clustering Model Selection for Reduced Support Vector Machines
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    Chapter 107 Generating the Reduced Set by Systematic Sampling
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    Chapter 108 Intelligent Data Engineering and Automated Learning – IDEAL 2004
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    Chapter 109 Policy Gradient Method for Team Markov Games
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    Chapter 110 An Information Theoretic Optimal Classifier for Semi-supervised Learning
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    Chapter 111 Improving Evolutionary Algorithms by a New Smoothing Technique
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    Chapter 112 Intelligent Data Engineering and Automated Learning – IDEAL 2004
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    Chapter 113 Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules
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    Chapter 114 Co-training from an Incremental EM Perspective
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    Chapter 115 Locally Tuned General Regression for Learning Mixture Models Using Small Incomplete Data Sets with Outliers and Overlapping Classes
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    Chapter 116 Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach
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    Chapter 117 Cardinality Constrained Portfolio Optimisation
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    Chapter 118 Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
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    Chapter 119 Detecting Credit Card Fraud by Using Questionnaire-Responded Transaction Model Based on Support Vector Machines
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    Chapter 120 Volatility Forecasts in Financial Time Series with HMM-GARCH Models
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    Chapter 121 User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
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    Chapter 122 Comparing Measures of Agreement for Agent Attitudes
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    Chapter 123 Hierarchical Agglomerative Clustering for Agent-Based Dynamic Collaborative Filtering
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    Chapter 124 Learning Users’ Interests in a Market-Based Recommender System
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    Chapter 125 Visualisation of Multi-agent System Organisations Using a Self-organising Map of Pareto Solutions
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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15 Dimensions

Readers on

mendeley
128 Mendeley
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Title
Intelligent Data Engineering and Automated Learning – IDEAL 2004
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b99975
ISBNs
978-3-54-022881-3, 978-3-54-028651-6
Authors

Zheng Rong Yang, Hujun Yin, Richard M. Everson

Editors

Yang, Zheng Rong, Yin, Hujun, Everson, Richard M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 2%
United States 2 2%
Portugal 2 2%
India 1 <1%
Malaysia 1 <1%
Mexico 1 <1%
Germany 1 <1%
Finland 1 <1%
Italy 1 <1%
Other 2 2%
Unknown 113 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 27%
Student > Master 26 20%
Researcher 20 16%
Student > Bachelor 12 9%
Student > Doctoral Student 12 9%
Other 24 19%
Readers by discipline Count As %
Computer Science 58 45%
Engineering 22 17%
Mathematics 10 8%
Unspecified 10 8%
Agricultural and Biological Sciences 7 5%
Other 21 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 April 2019.
All research outputs
#7,486,067
of 22,880,691 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,130 outputs
Outputs of similar age
#33,503
of 133,379 outputs
Outputs of similar age from Lecture notes in computer science
#50
of 115 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 133,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.