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

Overview

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012.
The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.
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Overview

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012.
The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.
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Product Details

Table of Contents

Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization.-Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problem.-Multivoxel Pattern Analysis Using Information-Preserving EMD.-Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach.-Multi-class Contour Preserving Classification.-Automated Bone Age Assessment Using Feature Extraction.-A Hybrid Approach Based on DCT-Genetic-Fuzzy Inference System for Speech Recognition.-An Approach to Reshaping Clusters for Nearest Neighbor Search.-Interestingness Measures for Fixed Consequent Rules.-Abnormal Event Detection via Multi-Instance Dictionary Learning .-Static Packet Routing in NoC Platform Using ACO-Based Algorithms.-Segmentation of Mammography by Applying Extreme Learning

Machine in Tumor Detection.-An ANN Speed Observer Applied to Three-Phase Induction Motor.-Opportunistic Sensor Interpretation in a Virtual Smart Environment.-Comparison of PCA and ANOVA for Information Selection of CC and MLO Views in Classification of Mammograms.-A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems.-Mean Multiclass Type I and II Errors for Training Multilayer

Perceptron with Particle Swarm in Image.-An Improved ABC Algorithm Approach Using SURF for Face Identification.-A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze.-Data Clustering Using Hybrid Particle Swarm Optimization.-A Learning-to-Rank Algorithm for Constructing Defect Prediction Models.-Multilayer Perceptrons as Classifiers Guided by Mutual Information and Trained with Genetic Algorithms.-Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction.-3D Fuzzy GIST to Analyze Emotional Features in Movies.-Interactive Information Retrieval Algorithm for Wikipedia Articles.-Prototype Based Modelling for Ordinal Classification.-A Genetic Graph-Based Clustering Algorithm.-Echo State Networks for Seasonal Streamflow Series Forecasting.-Face Segmentation Using Projection Pursuit for Texture Classification.-Visual Data Mining for Identification of Patterns and Outliers

in Weather Stations’ Data.-RSGALS-SVM: Random Subspace Method Applied to a LS-SVM

Ensemble Optimized by Genetic Algorithm.-Optimizing the Extreme Learning Machine Using Harmony Search for Hydrologic Time Series Forecasting.-Towards Efficient Similar Sentences Extraction.-Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction.-Visualization of Predictive Distributions for Discrete Spatial-Temporal

Log Cox Processes Approximated with MCMC.-Soft Sensor for Fluoridated Alumina Inference in Gas Treatment Centers .-Estimation of Aluminium Fluoride Concentration in Aluminium Reduction Cells through a Soft Sensors Approach.-Discovering the Rules of a Elementary One-Dimensional Automaton.-Perceptron Models for Online Structured Prediction.-A Weightless Neural Network-Based Approach for Stream Data Clustering.-Cloud Computing Environments for Biomedical Data Services.-Comparing Particle Swarm Optimization Approaches for Training Multi-Layer Perceptron Neural Networks for Forecasting.-Hybrid Architecture to Predict Trends at Sk Exchange of S˜ao Paulo:

Markowitz Model and a Multilayer Perceptron.-Comparative Study of Methods for Segmentation of Digital Images of Birds.-A Robust AdaBoost-Based Algorithm for Low-Resolution Face

Detection.-Color Image Segmentation Using Gaussian Mixtures and Particle

Swarm Optimization.-Comparison between MLP and LVQ Neural Networks for Virtual Upper Limb Prosthesis Control.-A Constructive Particle Swarm Algorithm for Fuzzy Clustering.-Self-Organizing Polynomial Neural Networks Based on Matrix Inversion and Differential Evolution.-A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction.-A Comparative Analysis of FSS with CMA-ES and S-PSO in Ill-Conditioned Problems.-A Framework for Application of Tree-Structured Data Mining

to Process Log Analysis.-Face Detection under Illumination Variance Using Combined AdaBoost

and Gradientfaces.-Iris Segmentation and Recognition Using 2D Log-Gabor Filters.-A Hybrid GMM Speaker Verification System for Mobile Devices in Variable Environments.-A Neural Network Based Approach for GPCR Protein Prediction Using Pattern Discovery.-Real-Time Head Pose Estimation for Mobile Devices.-Alternative Quality Measures for Time Series Shapelets.-Using SOM to Clustering of Web Sessions Extracted by Techniques of Web Usage Mining.-A Comparative Study of Use of Shannon, Ŕenyi and Tsallis Entropy for Attribute Selecting in Network Intrusion Detection.-Supervised Growing Neural Gas.-A General Approach for Adaptive Kernels in Semi-Supervised Clustering.-Ensemble Methods for Prediction of Parkinson Disease.-Behavior Pattern Recognition in Electric Power Consumption Series Using Data Mining Tools.-The Use of Artificial Neural Network in the Design of Metamaterials.-A Simulated Annealing Based Approach to the High School Timetabling

Problem.-Differential Evolution and Perceptron Decision Trees for Classification Tasks.-Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model.-A Transitional View of Immune Inspired Techniques for Anomaly Detection.-An Aspect-Oriented Domain-Specific Language for Modeling Multi-Agent Systems in Social Simulations.-Parallel k-Most Similar Neighbor Classifier for Mixed Data.-Feedback Linearization with a Neural Network Based Compensation

Scheme.-Local Fuzzy Pattern: A New Way for Micro-pattern Analysis.-Evolving Fuzzy Classifier Based on the Modified ECM Algorithm for Pattern Classification.-Overhead-Controlled Routing in WSNs with Reinforcement Learning.-Metaheuristic GRASP with Path-Relinking to the Solution of the Graph Partitioning Problem with Capacity and Connexity Constraints.-A Self-organizing Genetic Algorithm for UWB Microstrip Antenna Optimization Using a Machine Learning Technique.-Error Concealment by Means of Motion Refinement and Regularized Bregman Divergence.-Computational Intelligence Applied to Competitiveness Evaluation of Supply Chains: An Adaptive Neuro-Fuzzy Model.-Experimental Comparison of DWT and DFT for Trajectory Representation.-Classification Rule Discovery with Ant Colony Optimization Algorithm.-Improving Differential Evolution Accuracy for Flexible Ligand Docking Using a Multi-solution Strategy.-Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks.-Classification of Pharmaceutical Solid Excipients Using Self-Organizing Maps.-Regional Models for Nonlinear System Identification Using the Self-Organizing Map.-Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs.-Root Attribute Behavior within a Random Forest.-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.-Modified Reducts and Their Processing for Nearest Neighbor Classification.-Credit Scoring for SME Using a Manifold Supervised Learning Algorithm.-Sentiment Proxies: Computing Market Volatility.-Performance Evaluation of Hybrid Implementation of Support Vector Machine.-Advanced CT and MR Image Processing with FPGA.-New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets.-Application of an Hybrid Bio-inspired Meta-heuristic in the Optimization of Two-Dimensional Guillotine Cutting in an Glass Industry.-Photovoltaic Power Plant Output Estimation by Neural Networks and Fuzzy Inference.-An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis.-Application of a Perceptron Artificial Neural Network for Building the Stability of a Mining Process.-Merge Method for Shape-Based Clustering in Time Series Microarray Analysis.-Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules.-Cost-Sensitive Splitting and Selection Method for Medical Decision Support System.

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