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Intelligent Data Engineering and Automated Learning - IDEAL 2011

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Cover of 'Intelligent Data Engineering and Automated Learning - IDEAL 2011'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive K-Means for Clustering Air Mass Trajectories
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    Chapter 2 On Domain Independence of Author Identification
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    Chapter 3 Empirical Comparison of Resampling Methods Using Genetic Fuzzy Systems for a Regression Problem
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    Chapter 4 Linear Time Heuristics for Topographic Mapping of Dissimilarity Data
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    Chapter 5 Interpreting Hidden Neurons in Boolean Constructive Neural Networks
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    Chapter 6 An Experimental Study on Asymmetric Self-Organizing Map
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    Chapter 7 A Language Specification Tool for Model-Based Parsing
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    Chapter 8 Typical Testors Generation Based on an Evolutionary Algorithm
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    Chapter 9 SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition
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    Chapter 10 Online Labelling Strategies for Growing Neural Gas
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    Chapter 11 Multi-layer Topology Preserving Mapping for K -Means Clustering
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    Chapter 12 On the Extraction and Classification of Hand Outlines
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    Chapter 13 Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation
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    Chapter 14 Categorization of Wikipedia Articles with Spectral Clustering
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    Chapter 15 Is Genetic Programming “Human-Competitive”? The Case of Experimental Double Auction Markets
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    Chapter 16 Portfolio Optimization Using SPEA2 with Resampling
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    Chapter 17 Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network
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    Chapter 18 Spectral Non-gaussianity for Blind Image Deblurring
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    Chapter 19 A Graph Partitioning Approach to SOM Clustering
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    Chapter 20 Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm
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    Chapter 21 A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction
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    Chapter 22 Finding First-Order Minimal Unsatisfiable Cores with a Heuristic Depth-First-Search Algorithm
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    Chapter 23 3D Markerless Motion Tracking in Real-Time Using a Single Camera
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    Chapter 24 Extensions for Continuous Pattern Mining
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    Chapter 25 Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase
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    Chapter 26 Simplifying SVM with Weighted LVQ Algorithm
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    Chapter 27 Novelty Detection for Identifying Deterioration in Emergency Department Patients
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    Chapter 28 A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains
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    Chapter 29 A Modified Apriori Algorithm for Analysing High-Dimensional Gene Data
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    Chapter 30 Evolving Recurrent Neural Models of Geomagnetic Storms
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    Chapter 31 Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications
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    Chapter 32 Modeling Design and Flow Feature Interactions for Automotive Synthesis
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    Chapter 33 The Importance of Precision in Humour Classification
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    Chapter 34 A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design
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    Chapter 35 Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering
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    Chapter 36 Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets
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    Chapter 37 Automated Image Annotation System Based on an Open Source Object Database
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    Chapter 38 A Novel Multi-Objective Genetic Algorithm for Clustering
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    Chapter 39 A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery
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    Chapter 40 Engineering Spatial Analysis in Real Estate Applications
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    Chapter 41 Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism
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    Chapter 42 Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays
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    Chapter 43 SignalNet: Visualization of Signal Network Responses by Quantitative Proteome Data
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    Chapter 44 Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process
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    Chapter 45 Gradient Descent Decomposition for Multi-objective Learning
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    Chapter 46 P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model
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    Chapter 47 Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning
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    Chapter 48 Classification of Household Devices by Electricity Usage Profiles
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    Chapter 49 From Fuzzy Association Rule Mining to Effective Classification Framework
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    Chapter 50 From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data
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    Chapter 51 A New Approach to Neural Network Based Stock Trading Strategy
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    Chapter 52 A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes
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    Chapter 53 Multi Density DBSCAN
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    Chapter 54 Genetic Algorithms to Simplify Prognosis of Endocarditis
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    Chapter 55 Analyzing Key Factors of Human Resources Management
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    Chapter 56 A Principled Approach to the Analysis of Process Mining Algorithms
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    Chapter 57 Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process
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    Chapter 58 Eigenlights: Recovering Illumination from Face Images
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    Chapter 59 Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis
Overall attention for this book and its chapters
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Title
Intelligent Data Engineering and Automated Learning - IDEAL 2011
Published by
Springer Berlin Heidelberg, August 2011
DOI 10.1007/978-3-642-23878-9
ISBNs
978-3-64-223877-2, 978-3-64-223878-9
Editors

Yin, Hujun, Wang, Wenjia, Rayward-Smith, Victor

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Professor > Associate Professor 1 20%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Engineering 1 20%
Unknown 3 60%