Intelligent Data Engineering and Automated Learning -- IDEAL 2011

Name: Intelligent Data Engineering and Automated Learning -- IDEAL 2011 | 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings
Brand: Springer
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12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings

Hujun Yin Wenjia Wang Victor J. Rayward-Smith(Herausgeber*in)

Springer (Verlag)

Erschienen am 30. August 2011

XVII, 513 Seiten

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Inhalt

Intro
Title page
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
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
PrivacyBreachEvaluation
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
P2LSA
P2LSA+
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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