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Intelligent data engineering and automated learning--IDEAL 2011 : 12th International Conference, Norwich, UK, September 7-9, 2011, proceedings
IDEAL 2011 Norwich, England)
اطلاعات کتابشناختی
Intelligent data engineering and automated learning--IDEAL 2011 : 12th International Conference, Norwich, UK, September 7-9, 2011, proceedings
Author :
IDEAL 2011 Norwich, England)
Publisher :
Springer,
Pub. Year :
2011
Subjects :
Database management -- Congresses. Data mining -- Congresses. Machine learning --...
Call Number :
QA 76 .9 .D3 .I55864 2011
جستجو در محتوا
ترتيب
شماره صفحه
امتياز صفحه
فهرست مطالب
Front Cover
(1)
Editorial Board
(3)
Front Matter
(5)
Preface
(7)
Organization
(9)
Table of Contents
(15)
Adaptive K-Means for Clustering Air Mass Trajectories
(21)
Introduction
(21)
Related Work
(22)
Adaptive K-Means
(23)
Calculating the Weight
(23)
Results
(24)
Conclusion
(27)
References
(27)
On Domain Independence of Author Identification
(29)
Background
(29)
Latent Dirichlet Allocation
(30)
A Topic Model
(30)
An Author Topic Model
(31)
Obtaining Author Topic model
(31)
Identifying Authors
(32)
Experiments
(33)
Preliminaries
(33)
Experimental Results
(34)
Discussion
(35)
Conclusion
(36)
References
(36)
Empirical Comparison of Resampling Methods Using Genetic Fuzzy Systems for a Regression Problem
(37)
Introduction
(37)
Methods Used and Experimental Setup
(38)
Results of Experiments
(40)
Conclusions and Future Work
(43)
References
(43)
Linear Time Heuristics for Topographic Mapping of Dissimilarity Data
(45)
Introduction
(45)
Relational Topographic Mapping
(46)
The Nyström Approximation
(47)
Patch Processing
(49)
Experiments
(50)
Conclusions
(52)
References
(52)
Interpreting Hidden Neurons in Boolean Constructive Neural Networks
(54)
Introduction
(54)
A Brief Description of CoNN Algorithms Tower, Pyramid, Tiling, Perceptron-Cascade and Shift
(55)
Boolean Interpretation of Hidden Neurons
(57)
Conclusions
(60)
References
(61)
An Experimental Study on Asymmetric Self-Organizing Map
(62)
Introduction
(62)
Symmetric Self-Organizing Map
(63)
Asymmetry in Data
(64)
Asymmetric Coefficients
(64)
Asymmetric Self-Organizing Map
(65)
Experiments
(66)
Piano Music Composer Clustering
(67)
Human Heart Rhythm Clustering
(68)
Summary
(69)
References
(69)
A Language Specification Tool for Model-Based Parsing
(70)
Introduction
(70)
Background
(71)
Model-Based Language Specification
(72)
Abstract Syntax versus Concrete Syntax
(72)
Metamodel-Based Approach versus Traditional Approach
(73)
Model Specification
(74)
Benefits of Model-Based Language Specification
(74)
Conclusions and Future Work
(76)
References
(76)
Typical Testors Generation Based on an Evolutionary Algorithm
(78)
Introduction
(78)
Background
(79)
Hill Climbing Algorithm
(80)
The Proposed Hill Climbing Algorithm for Generated Typical Testors
(81)
The Acceleration Operation
(81)
Experiments
(82)
Discussion
(83)
Conclusions
(84)
References
(84)
SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition
(86)
Introduction
(86)
System Description
(87)
Analysed Data
(88)
Support Vector Classification
(90)
Log-Polar Sampling of the Gabor Decomposition
(91)
SVM Algorithm Assessment Based on Completed Experiments and Selected Research Results
(92)
Grid Sampling Parameters on a Log–Polar Scale
(93)
The Stage of Learning Data Sets and Selected Experiment Results
(93)
Summary and Further Research Directions
(94)
References
(95)
Online Labelling Strategies for Growing Neural Gas
(96)
Introduction
(96)
Classification with GNG
(97)
Online Labelling Strategies for GNG
(99)
Experiments and Results
(99)
Related Work and Conclusion
(102)
References
(103)
Multi-layer Topology Preserving Mapping for K-Means Clustering
(104)
Introduction
(104)
Topology Preserving Manifolds
(104)
Multi-layer Topology Preserving Mapping for K-Means Clustering
(106)
Biological Data Set
(108)
Conclusion
(110)
References
(110)
On the Extraction and Classification of Hand Outlines
(112)
Introduction
(112)
Outlining a Hand
(114)
Ensemble Techniques
(115)
Classification of an Outline
(116)
Results
(116)
Conclusions and Future Work
(118)
References
(119)
Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation
(120)
Introduction
(120)
Multi-Objective Particle Swarm Optimisation
(121)
The CLS Approach
(122)
Density Based Spatial Clustering
(122)
The Algorithm
(122)
Experiments and Results
(124)
Conclusions
(126)
References
(127)
Categorization ofWikipedia Articles with Spectral Clustering
(128)
Introduction
(128)
Spectral Clustering
(128)
Experiments
(131)
The Data
(131)
Results
(132)
Discussion
(134)
Practical Application and Future Work
(134)
References
(135)
Is Genetic Programming “Human-Competitive”? The Case of Experimental Double Auction Markets
(136)
Introduction and Motivation
(136)
Human Experiments
(137)
Performance Measurement
(138)
The DA Market as a Combinatorial Optimization Problem
(138)
Learning Index
(141)
Learned or Not? An Accident-Tolerance Criterion
(143)
Learning Performance and Working Memory
(144)
Conclusions
(145)
References
(146)
Portfolio Optimization Using SPEA2 with Resampling
(147)
Introduction
(147)
Portfolio Optimization's Problem Definition
(148)
Parameter Resampling Strategy
(149)
Evaluation Metric
(150)
Experimental Results
(151)
Conclusions
(153)
References
(154)
Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network
(155)
Introduction
(155)
Methods
(157)
EEG Experiment
(157)
Multilayer Feedforward Neural Network Based on Multi-valued Neurons
(157)
Training and Testing Data
(158)
Results and Discussion
(159)
Conclusion
(161)
References
(162)
Spectral Non-gaussianity for Blind Image Deblurring
(164)
Introduction
(164)
Blind Deconvolution
(165)
Blind Signal Separation (BSS) and Non-gaussianity
(165)
Spectral Kurtosis for Iterative Blind Deconvolution (IBD)
(166)
Spectral Kurtosis as Non-gaussianity Measure
(166)
Proposed Scheme
(168)
Conclusions
(171)
References
(171)
A Graph Partitioning Approach to SOM Clustering
(172)
Introduction
(172)
Clustering of the Self-Organizing Map
(173)
Graph Partitioning Approach to SOM Clustering
(174)
Experimental Results
(176)
Conclusion
(179)
References
(179)
Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm
(180)
Introduction
(180)
Genetic-Based Community Finding Algorithm (GCF)
(181)
GCF Codification
(181)
GCF Evolutionary Approach
(182)
GCF Fitness Functions
(182)
The Dataset Description
(184)
The Dataset Representation: The Eurovision Voting System
(184)
Study and Comparison of the Eurovision Network in a Random Context
(184)
Experimental Results
(185)
Distance Model
(186)
Clustering Coefficient Model
(186)
Hybrid Model
(187)
Conclusions and Future Work
(188)
References
(188)
A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction
(190)
Introduction
(190)
Background
(191)
Problem Definition
(192)
Subsumption Properties
(193)
AOI-HEP Algorithm
(194)
Experimentation
(195)
Conclusion
(196)
References
(197)
Finding First-Order Minimal Unsatisfiable Cores with a Heuristic Depth-First-Search Algorithm
(198)
Background and Introduction
(198)
DFS-Finder Description
(199)
Experiments
(202)
Conclusion
(204)
References
(204)
3D Markerless Motion Tracking in Real-Time Using a Single Camera
(206)
Introduction
(206)
Background
(207)
3D Markerless Motion Tracking
(208)
Experimental Results
(212)
Conclusions and Future Work
(213)
References
(213)
Extensions for Continuous Pattern Mining
(214)
Introduction
(214)
Definitions
(215)
Algorithms
(216)
Motivation
(216)
Building Prefix Tree
(217)
Mining Maximal Patterns
(217)
Optimizations
(219)
Pseudocodes
(221)
Experiments
(222)
Conclusion
(222)
References
(222)
Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase
(224)
Introduction
(224)
Methods
(225)
Experiments and Results
(227)
Random Effect Modelling
(227)
Growth Onset and Cessation
(228)
Summary and Conclusion
(231)
References
(231)
Simplifying SVM with Weighted LVQ Algorithm
(232)
Introduction
(232)
Simplifying SVM Prediction Model
(233)
Introduction to SVM
(233)
State of Art of Reduced Set Methods
(234)
Reducing Number of Support Vectors with LVQ Algorithm
(235)
Weighted LVQ Algorithm
(235)
Determining Weights Coefficient
(236)
Finding Optimal Number of Support Vectors
(236)
Numerical Examples
(237)
Conclusions
(238)
References
(239)
Novelty Detection for Identifying Deterioration in Emergency Department Patients
(240)
Introduction
(240)
Early Warning Scores
(240)
Novelty Detection
(241)
Manual Clinical Methods
(241)
Automated Methods - Estimation of the Joint Density
(241)
Automated Methods - One-Class Support Vector Machine
(242)
Clinical Study
(243)
Overview
(243)
Clinical Labels
(243)
Methodology and Results
(243)
Obstacles to Evaluating Classifier Performance
(243)
Results
(245)
Conclusions
(246)
References
(247)
A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains
(248)
Introduction
(248)
The Proposed Model
(250)
Experimental Analysis
(251)
Discussion and Concluding Remarks
(254)
References
(255)
A Modified Apriori Algorithm for Analysing High-Dimensional Gene Data
(256)
Introduction
(256)
Formal Problem Definition
(257)
An Example Data Set
(257)
Preprocessing of Data
(258)
Preprocessing of the Example Data Set
(259)
Algorithm for Finding Groups of Genes with Similar Characteristics
(260)
Results and Conclusions
(261)
References
(262)
Evolving Recurrent Neural Models of Geomagnetic Storms
(264)
Introduction
(264)
Geomagnetic Storms
(265)
Recurrent Neural Networks
(265)
Evolutionary Training of the RNN
(266)
Fitness Function
(267)
Cross over
(268)
Mutation
(268)
Experimental Results
(268)
Future Work
(270)
Concluding Remarks
(270)
References
(271)
Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications
(272)
Introduction
(272)
Reducing Multi-class to Binary Classification Problems
(273)
Performance Measures and Confusion Matrix for Multi-class Classifiers
(274)
Similarity of Confusion Matrices for Multi-class Classifiers
(276)
Experiments and Results
(277)
Conclusions
(280)
References
(281)
Modeling Design and Flow Feature Interactions for Automotive Synthesis
(282)
Introduction
(282)
Related Work
(283)
Interaction Modeling Framework
(283)
Information Theoretic Interactions
(284)
Interaction Graph
(285)
Application to a Passenger Car Model
(286)
Flow Feature Extraction and Performance Evaluation
(286)
Interaction Analysis
(287)
Conclusion
(288)
References
(289)
The Importance of Precision in Humour Classification
(291)
Introduction
(291)
Background
(292)
Support Vector Machines
(292)
Active Learning
(293)
Humour Classification
(293)
Proposed Approach
(294)
Experimental Setup
(295)
Data Set
(295)
Pre-processing Methods
(295)
Performance Metrics
(296)
Results and Discussion
(296)
Conclusions and Future Work
(297)
References
(298)
A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design
(299)
Introduction
(299)
Filter-Dominating Hybrid Sequential Forward Floating Search for Feature Subset Selection
(300)
Experimental Results
(303)
Discussions and Conclusions
(305)
References
(306)
Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering
(307)
Introduction
(307)
Related Work
(308)
Basics of Multidimensional Scaling
(309)
Non-metric MDS Data Perturbation
(310)
Privacy Breach Evaluation
(312)
Experiments and Results
(313)
Conclusions and Future Work
(316)
References
(317)
Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets
(319)
Introduction
(319)
Related Work
(320)
Evaluation Criteria at Learning Imbalanced
(321)
Proposed Method
(322)
Experimental Results
(323)
Conclusion
(326)
References
(326)
Automated Image Annotation System Based on an Open Source Object Database
(327)
Introduction
(327)
Related Work
(328)
The Annotation Model and SAIAPRTC-12 Dataset
(328)
db4o (Database for Objects)
(330)
Automatic Image Annotation Based on an Object Oriented Approach
(330)
System’s Architecture and Evaluation of the Annotation System
(333)
Conclusions and Future Work
(335)
References
(336)
A Novel Multi-Objective Genetic Algorithm for Clustering
(337)
Introduction
(337)
Notation Definition
(338)
Multi-Objective Clustering Algorithm (MOCA)
(339)
Solutions Representation and Initialisation
(340)
Mutation Operator
(340)
Crossover Operator
(341)
Fitness Measures for MOCA
(341)
Experimentation
(342)
Construction of Synthetic Data Sets
(342)
Comparison of Clustering Solutions
(343)
Experimental Method
(344)
Results
(344)
Conclusion and Future Work
(345)
References
(345)
A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery
(347)
Introduction
(347)
Experimental Data
(348)
Proposed Ensemble for Consensus Feature Ranking
(349)
Non-parametric Distribution Estimation
(350)
Individual Distance Measures
(350)
Consensus Ranking of Features
(350)
Co-occurrence Matrix Parameterisation
(351)
Application to Sonar Data: Results and Discussion
(352)
Factors Influencing Distance Measure Disagreements
(352)
Using the Ensemble to Parameterise a Co-occurrence Matrix
(353)
Conclusions and Scope for Future Work
(355)
References
(355)
Engineering Spatial Analysis in Real Estate Applications
(357)
Introduction
(357)
Background
(358)
The Reference Architecture
(359)
A Case Study
(361)
Conclusions
(363)
References
(363)
Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism
(365)
Introduction
(365)
Optimization Problem with Dynamic Objective Function
(366)
Evolutionary Algorithm with a Prediction Mechanism
(366)
Evolutionary Algorithm
(366)
ARIMA Prediction
(367)
Experiments
(368)
Conclusions
(371)
References
(372)
Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays
(373)
Introduction
(373)
Clustering
(374)
Multiobjective Optimization
(375)
Proposal
(376)
Experiments and Results
(378)
Conclusions
(379)
References
(380)
SignalNet: Visualization of Signal Network Responses by Quantitative Proteome Data
(381)
Introduction
(381)
Methods
(382)
Sample Preparation
(382)
Divergence
(383)
Parameters Q1 and Q2
(384)
Program Structure
(385)
Results
(386)
Conclusion
(388)
References
(388)
Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process
(389)
Introduction
(389)
Temperature Control in the EAF
(389)
Committee Machines
(390)
Evolutionary Algorithms
(390)
Methodology
(391)
Experimental Results
(394)
Conclusions
(395)
References
(396)
Gradient Descent Decomposition for Multi-objective Learning
(397)
Introduction
(397)
Model Capacity and Learning
(398)
Pareto Set Generation
(399)
Proposed Gradient Descent Decomposition
(400)
Analysis of the Gradient Descent Decomposition
(400)
Results
(402)
Discussion and Conclusion
(403)
References
(404)
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model
(405)
Introduction
(405)
PLSA
(406)
Model Construction and Solution
(406)
EM Algorithm
(407)
Parallel PLSA
(408)
$P^2LSA$
(408)
$P^2LSA+$
(410)
Experiment Result
(411)
Conclusion
(412)
References
(413)
Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning
(414)
Introduction
(414)
Introduction to Breast Cancer Diagnosis and Related Work with Machine Learning Algorithms
(414)
Learning Methods with Unlabeled Data
(415)
Support Vector Machines
(416)
Proposed Approach
(417)
Incremental Background Knowledge
(417)
Active Learning
(419)
Experimental Setup
(419)
Experimental Results
(420)
Conclusions and Future Work
(421)
References
(421)
Classification of Household Devices by Electricity Usage Profiles
(423)
Introduction
(423)
Time Series Classification
(425)
The Data
(426)
Results
(427)
Conclusions and Future Work
(431)
References
(431)
From Fuzzy Association Rule Mining to Effective Classification Framework
(433)
Introduction
(433)
Related Work
(434)
The Proposed Classification Framework
(435)
Experiments
(438)
Conclusions
(440)
References
(440)
From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data
(441)
Introduction
(441)
From Alternative Solutions to Robust Solution
(443)
The Objectives
(443)
The Multi-Objective Genetic Algorithm
(444)
Experiments
(446)
Testing with Glass
(446)
Testing with the Leukaemia Dataset
(447)
Summary and Conclusions
(447)
References
(448)
A New Approach to Neural Network Based Stock Trading Strategy
(449)
Introduction
(449)
Input Variables
(450)
Neural Network Architecture and Training
(452)
Experimental Results
(454)
Conclusions
(455)
References
(456)
A Comparison of Dimensionality Reduction Methods Using Topology Preservation Indexes
(457)
Introduction
(457)
Methods for Dimensionality Reduction
(458)
Proposed Indexes for Empirical Comparison of DR Methods
(459)
Experimental Results
(460)
Conclusions
(463)
References
(464)
Multi Density DBSCAN
(466)
Introduction
(466)
Density Based Clustering (DBSCAN)
(466)
Related Work
(467)
DBSCAN Limitation: Sparse Clusters Adjacent to High-Density Clusters
(468)
The Proposed Algorithm
(469)
K-Value Problems
(470)
Experimental Results
(471)
Conclusion
(472)
References
(473)
Genetic Algorithms to Simplify Prognosis of Endocarditis
(474)
Introduction
(474)
Feature Selection
(475)
Genetic Algorithms (GAs)
(475)
Data Classification
(476)
Support Vector Machines
(476)
The Iterative Dichotomiser 3
(477)
Naïve Bayes with Kernel Density Estimation
(477)
Data Description
(477)
Experiments and Results
(478)
Conclusions and Future Research
(480)
References
(481)
Analyzing Key Factors of Human Resources Management
(483)
Introduction
(483)
Knowledge Management and Human Resources
(484)
Neural Projection Model
(485)
Experimental Study
(486)
Results
(487)
Comparative Study
(490)
Conclusions and Future Work
(491)
References
(492)
A Principled Approach to the Analysis of Process Mining Algorithms
(494)
Introduction
(494)
Processes as Distributions over Strings of Symbols
(495)
An Illustrative Example — The Alpha Algorithm
(496)
Control-Flow Structures
(497)
Simplifying the Formulae
(499)
Experiments
(499)
Conclusion
(500)
References
(501)
Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process
(502)
Introduction
(502)
Steel Incremental Cold Shaping
(503)
The Problem Definition
(504)
Feature Selection and Neural Networks
(504)
Experiments and Results
(506)
Conclusions and Future Work
(507)
References
(508)
Eigenlights: Recovering Illumination from Face Images
(510)
Introduction
(510)
Finding the Eigenlights
(511)
Synthesis under Different Lighting Conditions
(514)
Recognition Experiment
(515)
Conclusion and Future Work
(516)
References
(517)
Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis
(518)
Introduction
(518)
Methods
(519)
Haseman-Elston Regression
(520)
New Approaches Considering Interaction
(521)
Simulation Studies
(522)
Simulation Designs
(522)
Performance Evaluation and Comparison
(524)
Application to Real-World Bone Mineral Density Data
(525)
Summary
(527)
References
(528)
Author Index
(531)
