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Intelligent data engineering and automated learning--IDEAL 2007 : international conference, Birmingham, UK, December 16-19, 2007 : proceedings

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Cover of 'Intelligent data engineering and automated learning--IDEAL 2007 : international conference, Birmingham, UK, December 16-19, 2007 : proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Support Function Machines
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    Chapter 2 Different Bayesian Network Models in the Classification of Remote Sensing Images
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    Chapter 3 Group Decision Making with Triangular Fuzzy Linguistic Variables
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    Chapter 4 Intelligent Data Engineering and Automated Learning - IDEAL 2007
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    Chapter 5 Advanced Forecasting and Classification Technique for Condition Monitoring of Rotating Machinery
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    Chapter 6 Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
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    Chapter 7 An Edit Distance Approach to Shallow Semantic Labeling
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    Chapter 8 A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data
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    Chapter 9 Variational GTM
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    Chapter 10 Skill Combination for Reinforcement Learning
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    Chapter 11 A New Recurring Multistage Evolutionary Algorithm for Solving Problems Efficiently
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    Chapter 12 The Effect of Missing Wind Speed Data on Wind Power Estimation
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    Chapter 13 Exploration of a Text Collection and Identification of Topics by Clustering
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    Chapter 14 Asynchronous BCI Control of a Robot Simulator with Supervised Online Training
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    Chapter 15 Fuzzy Ridge Regression with Non Symmetric Membership Functions and Quadratic Models
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    Chapter 16 A Subjective and Objective Integrated Method for MAGDM Problems with Multiple Types of Exact Preference Formats
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    Chapter 17 Energy Saving by Means of Fuzzy Systems
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    Chapter 18 A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks
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    Chapter 19 Filter Methods for Feature Selection – A Comparative Study
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    Chapter 20 FPGA-Based Architecture for Computing Testors
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    Chapter 21 Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance
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    Chapter 22 Intelligent Data Engineering and Automated Learning - IDEAL 2007
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    Chapter 23 Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System
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    Chapter 24 Wrapping the Naive Bayes Classifier to Relax the Effect of Dependences
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    Chapter 25 Preference Learning from Interval Pairwise Data. A Distance-Based Approach
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    Chapter 26 Psychometric Functions Within the Framework of Binary Signal Detection Theory: Coding the Face Identity
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    Chapter 27 Load Forecasting with Support Vector Machines and Semi-parametric Method
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    Chapter 28 Reproducing Kernel Hilbert Space Methods to Reduce Pulse Compression Sidelobes
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    Chapter 29 Support Kernel Machine-Based Active Learning to Find Labels and a Proper Kernel Simultaneously
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    Chapter 30 Making Class Bias Useful: A Strategy of Learning from Imbalanced Data
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    Chapter 31 Detecting Phishing E-mails by Heterogeneous Classification
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    Chapter 32 Load Balancing in Fault Tolerant Video Server
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    Chapter 33 Position-Aware String Kernels with Weighted Shifts and a General Framework to Apply String Kernels to Other Structured Data
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    Chapter 34 A New Regression Based Software Cost Estimation Model Using Power Values
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    Chapter 35 Visualising and Clustering Video Data
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    Chapter 36 Neural Network-Based Receiver for Uplink Multiuser Code Division Multiple Access Communication System
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    Chapter 37 Evolving Tree Algorithm Modifications
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    Chapter 38 A Linear Learning Method for Multilayer Perceptrons Using Least-Squares
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    Chapter 39 A Discriminative Model Corresponding to Hierarchical HMMs
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    Chapter 40 Finding Unsatisfiable Subformulas with Stochastic Method
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    Chapter 41 A New Efficient Approach in Clustering Ensembles
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    Chapter 42 An Evolutionary Hyperheuristic to Solve Strip-Packing Problems
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    Chapter 43 Statistical Analysis of Sample-Size Effects in ICA
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    Chapter 44 HPGP: An Abstraction-Based Framework for Decision-Theoretic Planning
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    Chapter 45 Correction of Medical Handwriting OCR Based on Semantic Similarity
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    Chapter 46 Multiple Classifier Fusion Using k-Nearest Localized Templates
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    Chapter 47 Color Image Segmentation Applied to Medical Domain
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    Chapter 48 Hierarchical Program Representation for Program Element Matching
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    Chapter 49 A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines
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    Chapter 50 An Effective Content-Based Image Retrieval System by Hierachical Segmentation
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    Chapter 51 Knowledge Extraction from Unstructured Surface Meshes
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    Chapter 52 Clustering with Reinforcement Learning
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    Chapter 53 Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets
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    Chapter 54 A Sparse Bayesian Position Weighted Bio-Kernel Network
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    Chapter 55 Square Penalty Support Vector Regression
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    Chapter 56 Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting
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    Chapter 57 Visualization of Topology Representing Networks
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    Chapter 58 The Outer Impartation Information Content of Rules and Rule Sets
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    Chapter 59 An Engineering Approach to Data Mining Projects
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    Chapter 60 Classifying Polyphonic Melodies by Chord Estimation Based on Hidden Markov Model
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    Chapter 61 Elastic Non-contiguous Sequence Pattern Detection for Data Stream Monitoring
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    Chapter 62 Joint Cutoff Probabilistic Estimation Using Simulation: A Mailing Campaign Application
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    Chapter 63 Segmentation and Annotation of Audiovisual Recordings Based on Automated Speech Recognition
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    Chapter 64 Mining Disjunctive Sequential Patterns from News Stream
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    Chapter 65 A New Dissimilarity Measure Between Trees by Decomposition of Unit-Cost Edit Distance
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    Chapter 66 Optimizing Web Structures Using Web Mining Techniques
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    Chapter 67 A Collaborative Recommender System Based on Asymmetric User Similarity
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    Chapter 68 Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications
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    Chapter 69 Parallel Wavelet Transform for Spatio-temporal Outlier Detection in Large Meteorological Data
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    Chapter 70 A Tool for Web Usage Mining
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    Chapter 71 Intelligent Data Engineering and Automated Learning - IDEAL 2007
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    Chapter 72 Intrusion Detection at Packet Level by Unsupervised Architectures
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    Chapter 73 Quality of Adaptation of Fusion ViSOM
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    Chapter 74 Classification Based on the Trace of Variables over Time
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    Chapter 75 Extracting Meaningful Contexts from Mobile Life Log
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    Chapter 76 Topological Tree Clustering of Social Network Search Results
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    Chapter 77 A Framework to Analyze Biclustering Results on Microarray Experiments
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    Chapter 78 Methods to Bicluster Validation and Comparison in Microarray Data
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    Chapter 79 Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification
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    Chapter 80 Intelligent Data Engineering and Automated Learning - IDEAL 2007
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    Chapter 81 Protein Data Condensation for Effective Quaternary Structure Classification
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    Chapter 82 PINCoC: A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks
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    Chapter 83 Discovering α–Patterns from Gene Expression Data
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    Chapter 84 Biclusters Evaluation Based on Shifting and Scaling Patterns
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    Chapter 85 A Deterministic Model to Infer Gene Networks from Microarray Data
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    Chapter 86 Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection
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    Chapter 87 Adapting Machine Learning Technique for Periodicity Detection in Nucleosomal Locations in Sequences
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    Chapter 88 Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
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    Chapter 89 Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
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    Chapter 90 Automatic Prognostic Determination and Evolution of Cognitive Decline Using Artificial Neural Networks
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    Chapter 91 SCSTallocator: Sized and Call-Site Tracing-Based Shared Memory Allocator for False Sharing Reduction in Page-Based DSM Systems
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    Chapter 92 A Hybrid Social Model for Simulating the Effects of Policies on Residential Power Consumption
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    Chapter 93 On Intelligent Interface Agents for Human Based Computation
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    Chapter 94 Reverse Engineering an Agent-Based Hidden Markov Model for Complex Social Systems
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    Chapter 95 Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner’s Dilemma
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    Chapter 96 Interface Agents’ Design for a DRT Transportation System Using PASSI
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    Chapter 97 A Multi-agent System Approach to Power System Topology Verification
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    Chapter 98 A System for Efficient Portfolio Management
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    Chapter 99 Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
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    Chapter 100 Time-Series Prediction Using Self-Organising Mixture Autoregressive Network
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    Chapter 101 Adjusting the Generalized Pareto Distribution with Evolution Strategies – An application to a Spanish Motor Liability Insurance Database
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    Chapter 102 Independent Factor Reinforcement Learning for Portfolio Management
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    Chapter 103 Discrete Time Portfolio Selection with Lévy Processes
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    Chapter 104 Analyzing the Influence of Overconfident Investors on Financial Markets Through Agent-Based Model
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    Chapter 105 Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach
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    Chapter 106 An Agent-Based Model of Interactions in the Payment Card Market
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    Chapter 107 The Possibility of an Epidemic Meme Analogy for Web Community Population Analysis
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    Chapter 108 The Econometric Analysis of Agent-Based Models in Finance: An Application
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    Chapter 109 Short Run Dynamics in an Artificial Futures Market with Human Subjects
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    Chapter 110 Video-Based Conjoint Analysis and Agent Based Simulation for Estimating Customer’s Behavior
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    Chapter 111 Effect of the Number of Users and Bias of Users’ Preference on Recommender Systems
  113. Altmetric Badge
    Chapter 112 Exploring Quantitative Evaluation Criteria for Service and Potentials of New Service in Transportation: Analyzing Transport Networks of Railway, Subway, and Waterbus
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    Chapter 113 Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks
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    Chapter 114 Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers
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    Chapter 115 An Evolution of Geometric Structures Algorithm for the Automatic Classification of HRR Radar Targets
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    Chapter 116 Hybrid Cross-Entropy Method/Hopfield Neural Network for Combinatorial Optimization Problems
Attention for Chapter 19: Filter Methods for Feature Selection – A Comparative Study
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Chapter title
Filter Methods for Feature Selection – A Comparative Study
Chapter number 19
Book title
Intelligent Data Engineering and Automated Learning - IDEAL 2007
Published by
Springer Berlin Heidelberg, January 2007
DOI 10.1007/978-3-540-77226-2_19
Book ISBNs
978-3-54-077225-5, 978-3-54-077226-2
Authors

Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, María Tombilla-Sanromán

Editors

Hujun Yin, Peter Tino, Emilio Corchado, Will Byrne, Xin Yao

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
United Kingdom 1 <1%
China 1 <1%
Russia 1 <1%
Poland 1 <1%
Unknown 341 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 21%
Student > Master 70 20%
Student > Bachelor 31 9%
Researcher 23 7%
Student > Postgraduate 13 4%
Other 48 14%
Unknown 87 25%
Readers by discipline Count As %
Computer Science 123 36%
Engineering 53 15%
Agricultural and Biological Sciences 8 2%
Medicine and Dentistry 7 2%
Mathematics 7 2%
Other 47 14%
Unknown 101 29%

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