Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings

Bioinformatics.- Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric.- A Novel Hybrid GA/SVM System for Protein Sequences Classification.- Building Genetic Networks for Gene Expression Patterns.- SVM-Based Classification of Distant Proteins Using Hierarchical Motifs.- Knowledge Discovery in Lymphoma Cancer from Gene–Expression.- A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces.- Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines.- An Assessment of Feature Relevance in Predicting Protein Function from Sequence.- A New Artificial Immune System Algorithm for Clustering.- The Categorisation of Similar Non-rigid Biological Objects by Clustering Local Appearance Patches.- Unsupervised Dense Regions Discovery in DNA Microarray Data.- Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data.- Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining.- Exploring Dependencies Between Yeast Stress Genes and Their Regulators.- Poly-transformation.- Prediction of Natively Disordered Regions in Proteins Using a Bio-basis Function Neural Network.- The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System.- PromSearch: A Hybrid Approach to Human Core-Promoter Prediction.- Data Mining and Knowledge Engineering.- Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification.- Deterministic Propagation of Blood Pressure Waveform from Human Wrists to Fingertips.- Pre-pruning Decision Trees by Local Association Rules.- A New Approach for Selecting Attributes Based on Rough Set Theory.- A Framework for Mining Association Rules in Data Warehouses.- Intelligent Web Service Discovery in Large Distributed System.- The Application of K-Medoids and PAM to the Clustering of Rules.- A Comparison of Texture Teatures for the Classification of Rock Images.- A Mixture of Experts Image Enhancement Scheme for CCTV Images.- Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query.- Unsupervised Segmentation on Image with JSEG Using Soft Class Map.- DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets.- A Fuzzy Set Based Trust and Reputation Model in P2P Networks.- Video Based Human Behavior Identification Using Frequency Domain Analysis.- Mobile Data Mining by Location Dependencies.- An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution.- On a Detection of Korean Prosody Phrases Boundaries.- A Collision Avoidance System for Autonomous Ship Using Fuzzy Relational Products and COLREGs.- Engineering Knowledge Discovery in Network Intrusion Detection.- False Alarm Classification Model for Network-Based Intrusion Detection System.- Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications.- Surface Spatial Index Structure of High-Dimensional Space.- Generating and Applying Rules for Interval Valued Fuzzy Observations.- Automatic Video Shot Boundary Detection Using Machine Learning.- On Building XML Data Warehouses.- A Novel Method for Mining Frequent Subtrees from XML Data.- Mining Association Rules Using Relative Confidence.- Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks.- An Effective Distributed Privacy-Preserving Data Mining Algorithm.- Dimensionality Reduction with Image Data.- Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles.- Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling.- Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.- PRICES: An Efficient Algorithm for Mining Association Rules.- Combination of SVM Knowledge for Microcalcification Detection in Digital Mammograms.- Char: An Automatic Way to Describe Characteristics of Data.- Two Methods for Automatic 3D Reconstruction from Long Un-calibrated Sequences.- Wrapper for Ranking Feature Selection.- Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search.- Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns.- Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning.- Comparing Study for Detecting Microcalcifications in Digital Mammogram Using Wavelets.- A Hybrid Multi-layered Speaker Independent Arabic Phoneme Identification System.- Feature Selection for Natural Disaster Texts Classification Using Testors.- Mining Large Engineering Data Sets on the Grid Using AURA.- Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems.- Ontology-Based Web Navigation Assistant.- A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis.- Combining Rules for Text Categorization Using Dempster’s Rule of Combination.- Genetic Program Based Data Mining for Fuzzy Decision Trees.- Automating Co-evolutionary Data Mining.- Topological Tree for Web Organisation, Discovery and Exploration.- New Medical Diagnostic Method for Oriental Medicine Using BYY Harmony Learning.- An Intelligent Topic-Specific Crawler Using Degree of Relevance.- Development of a Global and Integral Model of Business Management Using an Unsupervised Model.- Spam Mail Detection Using Artificial Neural Network and Bayesian Filter.- An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images.- Using Fuzzy Sets in Contextual Word Similarity.- Summarizing Time Series: Learning Patterns in ‘Volatile’ Series.- Cosine Transform Priors for Enhanced Decoding of Compressed Images.- Partial Discharge Classification Through Wavelet Packets of Their Modulated Ultrasonic Emission.- A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration.- Cluster-Based Visualisation of Marketing Data.- Dynamic Symbolization of Streaming Time Series.- A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment.- An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses.- Spam Classification Using Nearest Neighbour Techniques.- Learning Algorithms and Systems.- Kernel Density Construction Using Orthogonal Forward Regression.- Orthogonal Least Square with Boosting for Regression.- New Applications for Object Recognition and Affine Motion Estimation by Independent Component Analysis.- Personalized News Reading via Hybrid Learning.- Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters.- DIVACE: Diverse and Accurate Ensemble Learning Algorithm.- Parallel Processing for Movement Detection in Neural Networks with Nonlinear Functions.- Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions.- Finding Minimal Addition Chains Using Ant Colony.- Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data.- A Variable Metric Probabilistic k-Nearest-Neighbours Classifier.- Feature Word Tracking in Time Series Documents.- Combining Gaussian Mixture Models.- Global Convergence of Steepest Descent for Quadratic Functions.- Boosting Orthogonal Least Squares Regression.- Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition.- Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection.- Improving Support Vector Solutions by Selecting a Sequence of Training Subsets.- Machine Learning for Matching Astronomy Catalogues.- Boosting the Tree Augmented Naïve Bayes Classifier.- Clustering Model Selection for Reduced Support Vector Machines.- Generating the Reduced Set by Systematic Sampling.- Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.- Policy Gradient Method for Team Markov Games.- An Information Theoretic Optimal Classifier for Semi-supervised Learning.- Improving Evolutionary Algorithms by a New Smoothing Technique.- In-Situ Learning in Multi-net Systems.- Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules.- Co-training from an Incremental EM Perspective.- Locally Tuned General Regression for Learning Mixture Models Using Small Incomplete Data Sets with Outliers and Overlapping Classes.- Financial Engineering.- Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach.- Cardinality Constrained Portfolio Optimisation.- Sk Trading by Modelling Price Trend with Dynamic Bayesian Networks.- Detecting Credit Card Fraud by Using Questionnaire-Responded Transaction Model Based on Support Vector Machines.- Volatility Forecasts in Financial Time Series with HMM-GARCH Models.- Agent Technologies.- User Adaptive Answers Generation for Conversational Agent Using Genetic Programming.- Comparing Measures of Agreement for Agent Attitudes.- Hierarchical Agglomerative Clustering for Agent-Based Dynamic Collaborative Filtering.- Learning Users’ Interests in a Market-Based Recommender System.- Visualisation of Multi-agent System Organisations Using a Self-organising Map of Pareto Solutions.