Learning and Information Processing.- Taking Advantage of Class-Specific Feature Selection.- Local Approximations.- SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains.- Supervised Feature Extraction Using Hilbert-Schmidt Norms.- A Novel Estimation of the Regularization Parameter for ?-SVM.- Nearest Neighbor Classification by Relearning.- Integrating Rough Set and Genetic Algorithm for Negative Rule Extraction.- Development of a Conceptual Model for a Knowledge-Based System for the Design of Closed-Loop PID Controllers.- Lazy Classification Using an Optimized Instance-Based Learner.- Adaptive Fuzzy Logic Controller and Its Application in MEMS Mirror Actuation Feedback Control.- Detecting Computer Intrusions with Bayesian Networks.- Phase Load Balancing in the Secondary Distribution Network Using a Fuzzy Logic and a Combinatorial Optimization Based on the Newton Raphson.- Imperfect Pattern Recognition Using the Fuzzy Measure Theory.- K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy.- Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis.- FeedRank: A Semantic-Based Management System of Web Feeds.- An Autonomous Learning Algorithm of Resource Allocating Network.- Real-Time Nose Detection and Tracking Based on AdaBoost and Optical Flow Algorithms.- Hand Localization and Fingers Features Extraction: Application to Digit Recognition in Sign Language.- Interaction Detection in Aerodynamic Design Data.- Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information.- Optimizing Data Transformations for Classification Tasks.- The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.- Discriminant Regression Analysis to Find Homogeneous Structures.- Learning from a Smarter Teacher.- STORM - A Novel Information Fusion and Cluster Interpretation Technique.- Discriminant Independent Component Analysis.- Information Preserving Empirical Mode Decomposition for Filtering Field Potentials.- Data Mining and Information Management.- A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data.- Clustering with XCS and Agglomerative Rule Merging.- Extended Cascaded Star Schema and ECOLAP Operations for Spatial Data Warehouse.- Block Clustering for Web Pages Categorization.- Framework for Decisional Business Modeling and Requirements Modeling in Data Mining Projects.- An AI Tool for the Petroleum Industry Based on Image Analysis and Hierarchical Clustering.- Quantitative Association Rules Applied to Climatological Time Series Forecasting.- Duplicate Candidate Elimination and Fast Support Calculation for Frequent Subgraph Mining.- Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification.- Spherical Harmonics and Distance Transform for Image Representation and Retrieval.- Fourier Transform Based Spatial Outlier Mining.- Fuzzy Multi-Criteria Decision Making in Stereovision Matching for Fish-Eye Lenses in Forest Analysis.- Fuzzy Query Model for XML Documents.- Similarity-Binning Averaging: A Generalisation of Binning Calibration.- Compressed Disjunction-Free Pattern Representation versus Essential Pattern Representation.- Neuro-Informatics, Bio-Informatics and Bio-Inspired Models.- Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware.- Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps.- A Hybrid Grouping Genetic Algorithm for the Multiple-Type Access Node Location Problem.- A Comparative Study of Stellar Spectra Analysis with Neural Networks in Transformed Domains.- Cascade-Connected ANN Structures for Indoor WLAN Positioning.- The Spatial Pheromone Signal for Ant Colony Optimisation.- Intrusion Detection in Sensor Networks Using Clustering and Immune Systems.- Novel Architecture for RNA Secondary Structure Prediction.- Nonlinear Dimen...
This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, held in Burgos, Sapin, in September 2009.
The 100 revised full papers presented were carefully reviewed and selected from over 200 submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing; data mining and information management; neuro-informatics, bio-informatics, and bio-inspired models; agents and hybrid systems; soft computing techniques in data mining; recent advances on swarm-based computing; intelligent computational techniques in medical image processing; advances on ensemble learning and information fursion; financial and business engineering (modeling and applications); MIR day 2009 - Burgos; and nature inspired models for industrial applications.
