The IDEAL conference boast a vibrant and successful history dating back to 1998, th and this edition marked the 10 anniversary, an important milestone demonstrating the increasing popularity and high quality of the IDEAL conferences. Burgos, the capital of medieval Spain and a lively city today, was a perfect venue to celebrate such an occasion. The conference has become a unique, established and broad int- disciplinary forum for researchers and practitioners in many fields to interact with each other and with leading academics and industries in the areas of machine lea- ing, information processing, data mining, knowledge management, bio-informatics, neuro-informatics, bio-inspired models, agents and distributed systems, and hybrid systems. IDEAL 2009 received over 200 submissions. After a rigorous peer-review process, the International Programme Committee accepted 100 high-quality papers to be - cluded in the conference proceedings. In this 10th edition, a special emphasis was given on the organization of workshops and special sessions. Two workshops were organized under the framework of IDEAL 2009: MIR Day 2009 and Nature-Inspired Models for Industrial Applications. Five special sessions were organized by leading researchers in their fields on various topics such as Soft Computing Techniques in Data Mining, - cent Advances on Swarm-Based Computing, Intelligent Computational Techniques in Medical Image Processing, Advances on Ensemble Learning and Information Fusion, and Financial and Business Engineering (Modelling and Applications).
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 Dimensionality Reduction for Face Recognition.- A Framework for Pattern-Based Global Models.- A New Segmentation Approach in Structured Self-Organizing Maps for Image Retrieval.- GPU Implementation of the Multiple Back-Propagation Algorithm.- LDA Pre-processing for Classification: Class-Dependent Single Objective GA and Multi-objective GA Approaches.- Neural Network with Classification Based on Multiple Association Rule for Classifying Mammographic Data.- A Fuzzy Approach for Studying Combinatorial Regulatory Actions of Transcription Factors in Yeast.- Agents and Hybrid Systems.- The Winning Advantage: Using Opponent Models in Robot Soccer.- Talking Agents Design on the ICARO Framework.- A Rule-Based Multi-agent System for Local Traffic Management.- Requirements Engineering in the Development of Multi-Agent Systems: A Systematic Review.- Resources Oriented Search: A Strategy to Transfer Knowledge in the TRIZ-CBR Synergy.- Agent Negotiation Protocols in Time-Bounded Service Composition.- Writer Identification Using a Hybrid Method Combining Gabor Wavelet and Mesh Fractal Dimension.- Soft Computing Techniques in Data Mining.- Segmentation of Upwelling Regions in Sea Surface Temperature Images via Unsupervised Fuzzy Clustering.- Exploration of Bagging Ensembles Comprising Genetic Fuzzy Models to Assist with Real Estate Appraisals.- Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.- A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns.- Fuzzy Quantification-Based Linguistic Summaries in Data Cubes with Hierarchical Fuzzy Partition of Time Dimension.- A Soft Discretization Technique for Fuzzy Decision Trees Using Resampling.- Evolving Fuzzy Systems Based on the eTS Learning Algorithm for the Valuation of Residential Premises.- GFS-Based Analysis of Vague Databases in High Performance Athletics.- Recent Advances on Swarm-Based Computing.- The Vector Model of Artificial Physics Optimization Algorithm for Global Optimization Problems.- Electricity Consumption Simulation Based on Multi-agent System.- Using Preferences to Solve Student-Class Allocation Problem.- Nearest Neighbor Interaction PSO Based on Small-World Model.- Intelligent Computational Techniques in Medical Image Processing.- Classification Results of Artificial Neural Networks for Alzheimer's Disease Detection.- An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data.- Stent Graft Change Detection After Endovascular Abdominal Aortic Aneurysm Repair.- Segmentation of Abdominal Aortic Aneurysms in CT Images Using a Radial Model Approach.- Advances on Ensemble Learning and Information Fusion.- Interval-Valued Fuzzy Observations in Bayes Classifier.- Random Relevant and Non-redundant Feature Subspaces for Co-training.- Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method.- Financial and Business Engineering (Modeling and Applications).- Modelling Evaluation of Railway Reform Level Using Fuzzy Logic.- A Comparison of Market Structures with Near-Zero-Intelligence Traders.- Evaluating the Performance of Adapting Trading Strategies with Different Memory Lengths.- MIR Day 2009 - Burgos.- Improving the Language Active Learning with Multiagent Systems.- A Multi-agent System to Learn from Oceanic Satellite Image Data.- A Proposal for an Optimal Mutation Probability in an Evolutionary Model Based on Turing Machines.- Segmentation and Classification of Time-Series: Real Case Studies.- A Compendium of Heuristic Methods for Scheduling in Computational Grids.- Modeling of Network Computing Systems for Decision Tree Induction Tasks.- Atmospheric Pollution Analysis by Unsupervised Learning.- Improving Energy Efficiency in Buildings Using Machine Intelligence.- Analysis, Design and Implementation of a Multiagent System, to Extract Defining Contexts Based on a Linguistic Corpus in the Neurological Disease Domain.- Nature Inspired Models for Industrial Applications.- Applying Scatter Search to the Location Areas Problem.- Parameter Analysis for Differential Evolution with Pareto Tournaments in a Multiobjective Frequency Assignment Problem.- SOM-Based Selection of Monitored Consumers for Demand Prediction.- Multiagent Systems for Power System Topology Verification.