Intelligent Data Engineering and Automated Learning - IDEAL 2002

Applications.- A Branch and Bound Algorithm for Minimum Cost Network Flow Problem.- Study of the Regularity of the Users' Internet Accesses.- An Intelligent Mobile Commerce System with Dynamic Contents Builder and Mobile Products Browser.- Focused Crawling Using Fictitious Play.- A User Adaptive Mobile Commerce System with a Middlet Application.- Weight-Vector Based Approach for Product Recommendation in E-commerce.- The Development of an XML-Based Data Warehouse System.- Identifying Data Sources for Data Warehouses.- Agent Technologies.- Coordinating Learning Agents via Utility Assignment.- AGILE: An Agent-Assisted Infrastructure to Support Learning Environments.- Multi-agent Fuzzy Logic Resource Manager.- Transactional Multiple Agents.- An Information Model for a Merchant Trust Agent in Electronic Commerce.- MASIVE: A Case Study in Multiagent Systems.- Learning Multi-agent Strategies in Multi-stage Collaborative Games.- Emergent Specialization in Swarm Systems.- Distributed Mobile Communication Base Station Diagnosis and Monitoring Using Multi-agents.- ABBA - Agent Based Beaver Application - Busy Beaver in Swarm.- Centralised and Distributed Organisational Control.- Special Session on Autonomous Mining.- Mining Dependence Structures from Statistical Learning Perspective.- k*-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number.- Multiagent SAT (MASSAT): Autonomous Pattern Search in Constrained Domains.- A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management.- Framework of a Multi-agent KDD System.- Financial Engineering.- Intraday FX Trading: An Evolutionary Reinforcement Learning Approach.- An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI200 Futures.- Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning.- A Comparative Study on Three MAP Factor Estimate Approaches for NFA.- A Neural Classifier with Fraud Density Map for Effective Credit Card Fraud Detection.- A Comparison of Two Techniques for Next- Day Electricity Price Forecasting.- Support Vector Machine Regression for Volatile Stock Market Prediction.- Complexity Pursuit for Financial Prediction.- Artificial Intelligence in Portfolio Management.- The Multilevel Classification Problem and a Monotonicity Hint.- Adaptive Filtering for GARCH Models.- Bio-Informatics.- Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo 1H MR Spectra.- Supervised Learning of Term Similarities.- BIKMAS: A Knowledge Engineering System for Bioinformatics.- Unsupervised Feature Extraction of in vivo Magnetic Resonance Spectra of Brain Tumours Using Independent Component Analysis.- Fuzzy Rule-Based Framework for Medical Record Validation.- Learning Systems.- Classification Learning by Decomposition of Numerical Datasets.- Combining Feature Selection with Feature Weighting for k-NN Classifier.- Pattern Selection for Support Vector Classifiers.- Graphical Features Selection Method.- Fuzzy-Neural Inference in Decision Trees.- Decision Tree Based Clustering.- Usage of New Information Estimations for Induction of Fuzzy Decision Trees.- Genetic Algorithm Based-On the Quantum Probability Representation.- A Dynamic Method for Discretization of Continuous Attributes.- A New Neural Implementation of Exploratory Projection Pursuit.- A General Framework for a Principled Hierarchical Visualization of Multivariate Data.- Chinese Character Recognition-Comparison of Classification Methodologies.- Lempel-Ziv Coding in Reinforcement Learning.- Pattern Recognition.- Efficient Face Extraction Using Skin-Color Model and a Neural Network.- Feature Weights Determining of Pattern Classification by Using a Rough Genetic Algorithm with Fuzzy Similarity Measure.- Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals.- Viseme Recognition Experiment Using Context Dependent Hidden Markov Models.- Stave Extraction for Printed Music Scores.- Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features.- A New Approach to Hierarchically Retrieve MPEG Video.- Alpha-Beta Search Revisited.- Quantifying Relevance of Input Features.