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Intelligent Data Engineering and Automated Learning - IDEAL 2012 : 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings

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Cover of 'Intelligent Data Engineering and Automated Learning - IDEAL 2012 : 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization
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    Chapter 2 Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problem
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    Chapter 3 Multivoxel Pattern Analysis Using Information-Preserving EMD
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    Chapter 4 Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach
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    Chapter 5 Multi-class Contour Preserving Classification
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    Chapter 6 Automated Bone Age Assessment Using Feature Extraction
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    Chapter 7 A Hybrid Approach Based on DCT-Genetic-Fuzzy Inference System for Speech Recognition
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    Chapter 8 An Approach to Reshaping Clusters for Nearest Neighbor Search
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    Chapter 9 Interestingness Measures for Fixed Consequent Rules
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    Chapter 10 Abnormal Event Detection via Multi-Instance Dictionary Learning
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    Chapter 11 Static Packet Routing in NoC Platform Using ACO-Based Algorithms
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    Chapter 12 Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection
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    Chapter 13 An ANN Speed Observer Applied to Three-Phase Induction Motor
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    Chapter 14 Opportunistic Sensor Interpretation in a Virtual Smart Environment
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    Chapter 15 Comparison of PCA and ANOVA for Information Selection of CC and MLO Views in Classification of Mammograms
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    Chapter 16 A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems
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    Chapter 17 Mean Multiclass Type I and II Errors for Training Multilayer Perceptron with Particle Swarm in Image Segmentation
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    Chapter 18 An Improved ABC Algorithm Approach Using SURF for Face Identification
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    Chapter 19 A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze
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    Chapter 20 Data Clustering Using Hybrid Particle Swarm Optimization
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    Chapter 21 A Learning-to-Rank Algorithm for Constructing Defect Prediction Models
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    Chapter 22 Multilayer Perceptrons as Classifiers Guided by Mutual Information and Trained with Genetic Algorithms
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    Chapter 23 Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction
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    Chapter 24 3D Fuzzy GIST to Analyze Emotional Features in Movies
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    Chapter 25 Interactive Information Retrieval Algorithm for Wikipedia Articles
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    Chapter 26 Prototype Based Modelling for Ordinal Classification
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    Chapter 27 A Genetic Graph-Based Clustering Algorithm
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    Chapter 28 Echo State Networks for Seasonal Streamflow Series Forecasting
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    Chapter 29 Face Segmentation Using Projection Pursuit for Texture Classification
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    Chapter 30 Visual Data Mining for Identification of Patterns and Outliers in Weather Stations’ Data
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    Chapter 31 RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm
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    Chapter 32 Optimizing the Extreme Learning Machine Using Harmony Search for Hydrologic Time Series Forecasting
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    Chapter 33 Towards Efficient Similar Sentences Extraction
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    Chapter 34 Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction
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    Chapter 35 Intelligent Data Engineering and Automated Learning - IDEAL 2012
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    Chapter 36 Soft Sensor for Fluoridated Alumina Inference in Gas Treatment Centers
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    Chapter 37 Estimation of Aluminium Fluoride Concentration in Aluminium Reduction Cells through a Soft Sensors Approach
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    Chapter 38 Discovering the Rules of a Elementary One-Dimensional Automaton
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    Chapter 39 Perceptron Models for Online Structured Prediction
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    Chapter 40 A Weightless Neural Network-Based Approach for Stream Data Clustering
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    Chapter 41 Cloud Computing Environments for Biomedical Data Services
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    Chapter 42 Comparing Particle Swarm Optimization Approaches for Training Multi-Layer Perceptron Neural Networks for Forecasting
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    Chapter 43 Hybrid Architecture to Predict Trends at Stock Exchange of São Paulo: Markowitz Model and a Multilayer Perceptron
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    Chapter 44 Comparative Study of Methods for Segmentation of Digital Images of Birds
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    Chapter 45 A Robust AdaBoost-Based Algorithm for Low-Resolution Face Detection
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    Chapter 46 Color Image Segmentation Using Gaussian Mixtures and Particle Swarm Optimization
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    Chapter 47 Comparison between MLP and LVQ Neural Networks for Virtual Upper Limb Prosthesis Control
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    Chapter 48 A Constructive Particle Swarm Algorithm for Fuzzy Clustering
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    Chapter 49 Self-Organizing Polynomial Neural Networks Based on Matrix Inversion and Differential Evolution
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    Chapter 50 A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction
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    Chapter 51 A Comparative Analysis of FSS with CMA-ES and S-PSO in Ill-Conditioned Problems
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    Chapter 52 A Framework for Application of Tree-Structured Data Mining to Process Log Analysis
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    Chapter 53 Face Detection under Illumination Variance Using Combined AdaBoost and Gradientfaces
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    Chapter 54 Iris Segmentation and Recognition Using 2D Log-Gabor Filters
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    Chapter 55 A Hybrid GMM Speaker Verification System for Mobile Devices in Variable Environments
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    Chapter 56 A Neural Network Based Approach for GPCR Protein Prediction Using Pattern Discovery
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    Chapter 57 Real-Time Head Pose Estimation for Mobile Devices
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    Chapter 58 Alternative Quality Measures for Time Series Shapelets
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    Chapter 59 Using SOM to Clustering of Web Sessions Extracted by Techniques of Web Usage Mining
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    Chapter 60 A Comparative Study of Use of Shannon, Rényi and Tsallis Entropy for Attribute Selecting in Network Intrusion Detection
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    Chapter 61 Supervised Growing Neural Gas
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    Chapter 62 A General Approach for Adaptive Kernels in Semi-Supervised Clustering
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    Chapter 63 Ensemble Methods for Prediction of Parkinson Disease
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    Chapter 64 Behavior Pattern Recognition in Electric Power Consumption Series Using Data Mining Tools
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    Chapter 65 The Use of Artificial Neural Network in the Design of Metamaterials
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    Chapter 66 A Simulated Annealing Based Approach to the High School Timetabling Problem
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    Chapter 67 Differential Evolution and Perceptron Decision Trees for Classification Tasks
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    Chapter 68 Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model
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    Chapter 69 A Transitional View of Immune Inspired Techniques for Anomaly Detection
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    Chapter 70 An Aspect-Oriented Domain-Specific Language for Modeling Multi-Agent Systems in Social Simulations
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    Chapter 71 Parallel k-Most Similar Neighbor Classifier for Mixed Data
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    Chapter 72 Feedback Linearization with a Neural Network Based Compensation Scheme
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    Chapter 73 Local Fuzzy Pattern: A New Way for Micro-pattern Analysis
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    Chapter 74 Evolving Fuzzy Classifier Based on the Modified ECM Algorithm for Pattern Classification
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    Chapter 75 Overhead-Controlled Routing in WSNs with Reinforcement Learning
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    Chapter 76 Metaheuristic GRASP with Path-Relinking to the Solution of the Graph Partitioning Problem with Capacity and Connexity Constraints
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    Chapter 77 A Self-organizing Genetic Algorithm for UWB Microstrip Antenna Optimization Using a Machine Learning Technique
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    Chapter 78 Error Concealment by Means of Motion Refinement and Regularized Bregman Divergence
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    Chapter 79 Computational Intelligence Applied to Competitiveness Evaluation of Supply Chains: An Adaptive Neuro-Fuzzy Model
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    Chapter 80 Experimental Comparison of DWT and DFT for Trajectory Representation
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    Chapter 81 Classification Rule Discovery with Ant Colony Optimization Algorithm
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    Chapter 82 Improving Differential Evolution Accuracy for Flexible Ligand Docking Using a Multi-solution Strategy
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    Chapter 83 Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks
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    Chapter 84 Classification of Pharmaceutical Solid Excipients Using Self-Organizing Maps
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    Chapter 85 Regional Models for Nonlinear System Identification Using the Self-Organizing Map
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    Chapter 86 Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs
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    Chapter 87 Root Attribute Behavior within a Random Forest
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    Chapter 88 Fault Detection in Continuous Industrial Chemical Processes: A New Approach Using the Hidden Markov Modeling. Case Study: A Boiler from a Brazilian Cellulose Pulp Mill
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    Chapter 89 Modified Reducts and Their Processing for Nearest Neighbor Classification
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    Chapter 90 Credit Scoring for SME Using a Manifold Supervised Learning Algorithm
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    Chapter 91 Sentiment Proxies: Computing Market Volatility
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    Chapter 92 Performance Evaluation of Hybrid Implementation of Support Vector Machine
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    Chapter 93 Advanced CT and MR Image Processing with FPGA
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    Chapter 94 New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets
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    Chapter 95 Application of an Hybrid Bio-inspired Meta-heuristic in the Optimization of Two-Dimensional Guillotine Cutting in an Glass Industry
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    Chapter 96 Photovoltaic Power Plant Output Estimation by Neural Networks and Fuzzy Inference
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    Chapter 97 An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis
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    Chapter 98 Application of a Perceptron Artificial Neural Network for Building the Stability of a Mining Process
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    Chapter 99 Merge Method for Shape-Based Clustering in Time Series Microarray Analysis
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    Chapter 100 Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules
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    Chapter 101 Cost-Sensitive Splitting and Selection Method for Medical Decision Support System
Overall attention for this book and its chapters
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Citations

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Title
Intelligent Data Engineering and Automated Learning - IDEAL 2012 : 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-32639-4
ISBNs
978-3-64-232639-4, 978-3-64-232638-7
Authors

Yin, Hujun, Costa, José A. F, Barreto, Guilherme

Editors

Yin, Hujun, Costa, José A. F., Barreto, Guilherme

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The data shown below were collected from the profiles of 2 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 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Switzerland 1 <1%
Norway 1 <1%
Australia 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Egypt 1 <1%
Taiwan 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 248 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 24%
Student > Ph. D. Student 58 22%
Researcher 26 10%
Student > Bachelor 20 8%
Student > Doctoral Student 14 5%
Other 43 17%
Unknown 35 14%
Readers by discipline Count As %
Computer Science 104 40%
Engineering 54 21%
Business, Management and Accounting 15 6%
Unspecified 6 2%
Agricultural and Biological Sciences 4 2%
Other 32 12%
Unknown 44 17%

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