• Front Cover
• Editorial Board
• Front Matter
• Preface
• Organization
• Table of Contents
• Adaptive K-Means for Clustering Air Mass Trajectories
  • Introduction
  • Related Work
  • Adaptive K-Means
    • Calculating the Weight
  • Results
  • Conclusion
  • References
• On Domain Independence of Author Identification
  • Background
  • Latent Dirichlet Allocation
    • A Topic Model
    • An Author Topic Model
    • Obtaining Author Topic model
  • Identifying Authors
  • Experiments
    • Preliminaries
    • Experimental Results
    • Discussion
  • Conclusion
  • References
• Empirical Comparison of Resampling Methods Using Genetic Fuzzy Systems for a Regression Problem
  • Introduction
  • Methods Used and Experimental Setup
  • Results of Experiments
  • Conclusions and Future Work
  • References
• Linear Time Heuristics for Topographic Mapping of Dissimilarity Data
  • Introduction
  • Relational Topographic Mapping
  • The Nyström Approximation
  • Patch Processing
  • Experiments
  • Conclusions
  • References
• Interpreting Hidden Neurons in Boolean Constructive Neural Networks
  • Introduction
  • A Brief Description of CoNN Algorithms Tower, Pyramid, Tiling, Perceptron-Cascade and Shift
  • Boolean Interpretation of Hidden Neurons
  • Conclusions
  • References
• An Experimental Study on Asymmetric Self-Organizing Map
  • Introduction
  • Symmetric Self-Organizing Map
  • Asymmetry in Data
    • Asymmetric Coefficients
  • Asymmetric Self-Organizing Map
  • Experiments
    • Piano Music Composer Clustering
    • Human Heart Rhythm Clustering
  • Summary
  • References
• A Language Specification Tool for Model-Based Parsing
  • Introduction
  • Background
  • Model-Based Language Specification
    • Abstract Syntax versus Concrete Syntax
    • Metamodel-Based Approach versus Traditional Approach
    • Model Specification
  • Benefits of Model-Based Language Specification
  • Conclusions and Future Work
  • References
• Typical Testors Generation Based on an Evolutionary Algorithm
  • Introduction
  • Background
    • Hill Climbing Algorithm
  • The Proposed Hill Climbing Algorithm for Generated Typical Testors
    • The Acceleration Operation
  • Experiments
    • Discussion
  • Conclusions
  • References
• SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition
  • Introduction
  • System Description
  • Analysed Data
  • Support Vector Classification
  • Log-Polar Sampling of the Gabor Decomposition
  • SVM Algorithm Assessment Based on Completed Experiments and Selected Research Results
    • Grid Sampling Parameters on a Log–Polar Scale
    • The Stage of Learning Data Sets and Selected Experiment Results
  • Summary and Further Research Directions
  • References
• Online Labelling Strategies for Growing Neural Gas
  • Introduction
  • Classification with GNG
  • Online Labelling Strategies for GNG
  • Experiments and Results
  • Related Work and Conclusion
  • References
• Multi-layer Topology Preserving Mapping for K-Means Clustering
  • Introduction
  • Topology Preserving Manifolds
  • Multi-layer Topology Preserving Mapping for K-Means Clustering
  • Biological Data Set
  • Conclusion
  • References
• On the Extraction and Classification of Hand Outlines
  • Introduction
  • Outlining a Hand
    • Ensemble Techniques
  • Classification of an Outline
  • Results
  • Conclusions and Future Work
  • References
• Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation
  • Introduction
  • Multi-Objective Particle Swarm Optimisation
  • The CLS Approach
    • Density Based Spatial Clustering
    • The Algorithm
  • Experiments and Results
  • Conclusions
  • References
• Categorization ofWikipedia Articles with Spectral Clustering
  • Introduction
  • Spectral Clustering
  • Experiments
    • The Data
    • Results
  • Discussion
    • Practical Application and Future Work
  • References
• Is Genetic Programming “Human-Competitive”? The Case of Experimental Double Auction Markets
  • Introduction and Motivation
  • Human Experiments
  • Performance Measurement
    • The DA Market as a Combinatorial Optimization Problem
    • Learning Index
    • Learned or Not? An Accident-Tolerance Criterion
  • Learning Performance and Working Memory
  • Conclusions
  • References
• Portfolio Optimization Using SPEA2 with Resampling
  • Introduction
  • Portfolio Optimization's Problem Definition
  • Parameter Resampling Strategy
  • Evaluation Metric
  • Experimental Results
  • Conclusions
  • References
• Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network
  • Introduction
  • Methods
    • EEG Experiment
    • Multilayer Feedforward Neural Network Based on Multi-valued Neurons
    • Training and Testing Data
  • Results and Discussion
  • Conclusion
  • References
• Spectral Non-gaussianity for Blind Image Deblurring
  • Introduction
    • Blind Deconvolution
    • Blind Signal Separation (BSS) and Non-gaussianity
  • Spectral Kurtosis for Iterative Blind Deconvolution (IBD)
    • Spectral Kurtosis as Non-gaussianity Measure
    • Proposed Scheme
  • Conclusions
  • References
• A Graph Partitioning Approach to SOM Clustering
  • Introduction
  • Clustering of the Self-Organizing Map
  • Graph Partitioning Approach to SOM Clustering
  • Experimental Results
  • Conclusion
  • References
• Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm
  • Introduction
  • Genetic-Based Community Finding Algorithm (GCF)
    • GCF Codification
    • GCF Evolutionary Approach
    • GCF Fitness Functions
  • The Dataset Description
    • The Dataset Representation: The Eurovision Voting System
    • Study and Comparison of the Eurovision Network in a Random Context
  • Experimental Results
    • Distance Model
    • Clustering Coefficient Model
    • Hybrid Model
  • Conclusions and Future Work
  • References
• A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction
  • Introduction
  • Background
  • Problem Definition
    • Subsumption Properties
  • AOI-HEP Algorithm
  • Experimentation
  • Conclusion
  • References
• Finding First-Order Minimal Unsatisfiable Cores with a Heuristic Depth-First-Search Algorithm
  • Background and Introduction
  • DFS-Finder Description
  • Experiments
  • Conclusion
  • References
• 3D Markerless Motion Tracking in Real-Time Using a Single Camera
  • Introduction
  • Background
  • 3D Markerless Motion Tracking
  • Experimental Results
  • Conclusions and Future Work
  • References
• Extensions for Continuous Pattern Mining
  • Introduction
  • Definitions
  • Algorithms
    • Motivation
    • Building Prefix Tree
    • Mining Maximal Patterns
    • Optimizations
  • Pseudocodes
  • Experiments
  • Conclusion
  • References
• Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase
  • Introduction
  • Methods
  • Experiments and Results
    • Random Effect Modelling
    • Growth Onset and Cessation
  • Summary and Conclusion
  • References
• Simplifying SVM with Weighted LVQ Algorithm
  • Introduction
  • Simplifying SVM Prediction Model
    • Introduction to SVM
    • State of Art of Reduced Set Methods
  • Reducing Number of Support Vectors with LVQ Algorithm
    • Weighted LVQ Algorithm
    • Determining Weights Coefficient
  • Finding Optimal Number of Support Vectors
  • Numerical Examples
  • Conclusions
  • References
• Novelty Detection for Identifying Deterioration in Emergency Department Patients
  • Introduction
    • Early Warning Scores
  • Novelty Detection
    • Manual Clinical Methods
    • Automated Methods - Estimation of the Joint Density
    • Automated Methods - One-Class Support Vector Machine
  • Clinical Study
    • Overview
    • Clinical Labels
  • Methodology and Results
    • Obstacles to Evaluating Classifier Performance
    • Results
  • Conclusions
  • References
• A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains
  • Introduction
  • The Proposed Model
  • Experimental Analysis
  • Discussion and Concluding Remarks
  • References
• A Modified Apriori Algorithm for Analysing High-Dimensional Gene Data
  • Introduction
  • Formal Problem Definition
    • An Example Data Set
    • Preprocessing of Data
    • Preprocessing of the Example Data Set
  • Algorithm for Finding Groups of Genes with Similar Characteristics
  • Results and Conclusions
  • References
• Evolving Recurrent Neural Models of Geomagnetic Storms
  • Introduction
    • Geomagnetic Storms
  • Recurrent Neural Networks
    • Evolutionary Training of the RNN
    • Fitness Function
    • Cross over
    • Mutation
  • Experimental Results
  • Future Work
  • Concluding Remarks
  • References
• Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications
  • Introduction
  • Reducing Multi-class to Binary Classification Problems
  • Performance Measures and Confusion Matrix for Multi-class Classifiers
  • Similarity of Confusion Matrices for Multi-class Classifiers
  • Experiments and Results
  • Conclusions
  • References
• Modeling Design and Flow Feature Interactions for Automotive Synthesis
  • Introduction
  • Related Work
  • Interaction Modeling Framework
    • Information Theoretic Interactions
    • Interaction Graph
  • Application to a Passenger Car Model
    • Flow Feature Extraction and Performance Evaluation
    • Interaction Analysis
  • Conclusion
  • References
• The Importance of Precision in Humour Classification
  • Introduction
  • Background
    • Support Vector Machines
    • Active Learning
    • Humour Classification
  • Proposed Approach
  • Experimental Setup
    • Data Set
    • Pre-processing Methods
    • Performance Metrics
    • Results and Discussion
  • Conclusions and Future Work
  • References
• A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design
  • Introduction
  • Filter-Dominating Hybrid Sequential Forward Floating Search for Feature Subset Selection
  • Experimental Results
  • Discussions and Conclusions
  • References
• Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering
  • Introduction
  • Related Work
  • Basics of Multidimensional Scaling
  • Non-metric MDS Data Perturbation
  • Privacy Breach Evaluation
  • Experiments and Results
  • Conclusions and Future Work
  • References
• Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets
  • Introduction
  • Related Work
  • Evaluation Criteria at Learning Imbalanced
  • Proposed Method
  • Experimental Results
  • Conclusion
  • References
• Automated Image Annotation System Based on an Open Source Object Database
  • Introduction
  • Related Work
  • The Annotation Model and SAIAPRTC-12 Dataset
  • db4o (Database for Objects)
  • Automatic Image Annotation Based on an Object Oriented Approach
  • System’s Architecture and Evaluation of the Annotation System
  • Conclusions and Future Work
  • References
• A Novel Multi-Objective Genetic Algorithm for Clustering
  • Introduction
  • Notation Definition
  • Multi-Objective Clustering Algorithm (MOCA)
    • Solutions Representation and Initialisation
    • Mutation Operator
    • Crossover Operator
    • Fitness Measures for MOCA
  • Experimentation
    • Construction of Synthetic Data Sets
    • Comparison of Clustering Solutions
    • Experimental Method
  • Results
  • Conclusion and Future Work
  • References
• A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery
  • Introduction
  • Experimental Data
  • Proposed Ensemble for Consensus Feature Ranking
    • Non-parametric Distribution Estimation
    • Individual Distance Measures
    • Consensus Ranking of Features
  • Co-occurrence Matrix Parameterisation
  • Application to Sonar Data: Results and Discussion
    • Factors Influencing Distance Measure Disagreements
    • Using the Ensemble to Parameterise a Co-occurrence Matrix
  • Conclusions and Scope for Future Work
  • References
• Engineering Spatial Analysis in Real Estate Applications
  • Introduction
  • Background
  • The Reference Architecture
  • A Case Study
  • Conclusions
  • References
• Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism
  • Introduction
  • Optimization Problem with Dynamic Objective Function
  • Evolutionary Algorithm with a Prediction Mechanism
    • Evolutionary Algorithm
    • ARIMA Prediction
  • Experiments
  • Conclusions
  • References
• Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays
  • Introduction
  • Clustering
  • Multiobjective Optimization
  • Proposal
  • Experiments and Results
  • Conclusions
  • References
• SignalNet: Visualization of Signal Network Responses by Quantitative Proteome Data
  • Introduction
  • Methods
    • Sample Preparation
    • Divergence
    • Parameters Q1 and Q2
    • Program Structure
  • Results
  • Conclusion
  • References
• Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process
  • Introduction
    • Temperature Control in the EAF
    • Committee Machines
    • Evolutionary Algorithms
  • Methodology
  • Experimental Results
  • Conclusions
  • References
• Gradient Descent Decomposition for Multi-objective Learning
  • Introduction
  • Model Capacity and Learning
    • Pareto Set Generation
  • Proposed Gradient Descent Decomposition
    • Analysis of the Gradient Descent Decomposition
  • Results
  • Discussion and Conclusion
  • References
• P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model
  • Introduction
  • PLSA
    • Model Construction and Solution
    • EM Algorithm
  • Parallel PLSA
    • $P^2LSA$
    • $P^2LSA+$
  • Experiment Result
  • Conclusion
  • References
• Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning
  • Introduction
    • Introduction to Breast Cancer Diagnosis and Related Work with Machine Learning Algorithms
    • Learning Methods with Unlabeled Data
  • Support Vector Machines
  • Proposed Approach
    • Incremental Background Knowledge
    • Active Learning
  • Experimental Setup
  • Experimental Results
  • Conclusions and Future Work
  • References
• Classification of Household Devices by Electricity Usage Profiles
  • Introduction
  • Time Series Classification
  • The Data
  • Results
  • Conclusions and Future Work
  • References
• From Fuzzy Association Rule Mining to Effective Classification Framework
  • Introduction
  • Related Work
  • The Proposed Classification Framework
  • Experiments
  • Conclusions
  • References
• From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data
  • Introduction
  • From Alternative Solutions to Robust Solution
    • The Objectives
    • The Multi-Objective Genetic Algorithm
  • Experiments
    • Testing with Glass
    • Testing with the Leukaemia Dataset
  • Summary and Conclusions
  • References
• A New Approach to Neural Network Based Stock Trading Strategy
  • Introduction
  • Input Variables
  • Neural Network Architecture and Training
  • Experimental Results
  • Conclusions
  • References
• A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes
  • Introduction
  • Methods for Dimensionality Reduction
  • Proposed Indexes for Empirical Comparison of DR Methods
  • Experimental Results
  • Conclusions
  • References
• Multi Density DBSCAN
  • Introduction
    • Density Based Clustering (DBSCAN)
  • Related Work
    • DBSCAN Limitation: Sparse Clusters Adjacent to High-Density Clusters
  • The Proposed Algorithm
    • K-Value Problems
  • Experimental Results
  • Conclusion
  • References
• Genetic Algorithms to Simplify Prognosis of Endocarditis
  • Introduction
  • Feature Selection
    • Genetic Algorithms (GAs)
  • Data Classification
    • Support Vector Machines
    • The Iterative Dichotomiser 3
    • Naïve Bayes with Kernel Density Estimation
  • Data Description
  • Experiments and Results
  • Conclusions and Future Research
  • References
• Analyzing Key Factors of Human Resources Management
  • Introduction
  • Knowledge Management and Human Resources
  • Neural Projection Model
  • Experimental Study
    • Results
    • Comparative Study
  • Conclusions and Future Work
  • References
• A Principled Approach to the Analysis of Process Mining Algorithms
  • Introduction
  • Processes as Distributions over Strings of Symbols
  • An Illustrative Example — The Alpha Algorithm
    • Control-Flow Structures
    • Simplifying the Formulae
  • Experiments
  • Conclusion
  • References
• Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process
  • Introduction
  • Steel Incremental Cold Shaping
    • The Problem Definition
  • Feature Selection and Neural Networks
  • Experiments and Results
  • Conclusions and Future Work
  • References
• Eigenlights: Recovering Illumination from Face Images
  • Introduction
  • Finding the Eigenlights
  • Synthesis under Different Lighting Conditions
  • Recognition Experiment
  • Conclusion and Future Work
  • References
• Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis
  • Introduction
  • Methods
    • Haseman-Elston Regression
    • New Approaches Considering Interaction
  • Simulation Studies
    • Simulation Designs
    • Performance Evaluation and Comparison
  • Application to Real-World Bone Mineral Density Data
  • Summary
  • References
• Author Index

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