Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents

Data Mining and Automated Learning.- Clustering by Similarity in an Auxiliary Space.- Analyses on the Generalised Lotto-Type Competitive Learning.- Extended K-means with an Efficient Estimation of the Number of Clusters.- An Interactive Approach to Building Classiffication Models by Clustering and Cluster Validation.- A New Distributed Algorithm for Large Data Clustering.- A NEW NONHIERARCHICAL CLUSTERING PROCEDURE FOR SYMBOLIC OBJECTS.- Quantization of Continuous Input Variables for Binary Classification.- Information-Based Classification by Aggregating Emerging Patterns.- Boosting the Margin Distribution.- Detecting a Compact Decision Tree Based on an Appropriate Abstraction.- A New Algorithm to Select Learning Examples from Learning Data.- Data Ranking Based on Spatial Partitioning.- Logical Decision Rules: Teaching C4.5 to Speak Prolog.- Visualisation of Temporal Interval Association Rules.- Lithofacies Characteristics Discovery from Well Log Data Using Association Rules.- Fuzzy Hydrocyclone Modelling for Particle Separation Using Fuzzy Rule Interpolation.- A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles.- Best Harmony Learning.- Observational Learning with Modular Networks.- Finding Essential Attributes in Binary Data.- A Heuristic Optimal Reduct Algorithm.- A Note on Learning Automata Based Schemes for Adaptation of BP Parameters.- A Note on Covariances for Categorical Data.- A General Class of Neural Networks for Principal Component Analysis and Factor Analysis.- Generalised Canonical Correlation Analysis.- Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis.- Temporal Data Mining Using Multilevel-Local Polynomial Models.- First Experiments for Mining Sequential Patterns on Distributed Sites with Multi-Agents.- Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor.- Genetic Programming Prediction of Solar Activity.- Interpretation of the Richardson Plot in Time Series Representation.- Financial Engineering.- Wavelet Methods in PDE Valuation of Financial Derivatives.- Fast Algorithms for Computing Corporate Default Probabilities.- Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation.- Applying Mutual Information to Adaptive Mixture Models.- Stability Analysis of Financial Ratios.- Modeling of the German Yield Curve by Error Correction Neural Networks.- Feature Selection for Support Vector Machines in Financial Time Series Forecasting.- ?-Descending Support Vector Machines for Financial Time Series Forecasting.- Classifying Market States with WARS.- "Left Shoulder"Data Mining and Automated Learning.- Clustering by Similarity in an Auxiliary Space.- Analyses on the Generalised Lotto-Type Competitive Learning.- Extended K-means with an Efficient Estimation of the Number of Clusters.- An Interactive Approach to Building Classiffication Models by Clustering and Cluster Validation.- A New Distributed Algorithm for Large Data Clustering.- A NEW NONHIERARCHICAL CLUSTERING PROCEDURE FOR SYMBOLIC OBJECTS.- Quantization of Continuous Input Variables for Binary Classification.- Information-Based Classification by Aggregating Emerging Patterns.- Boosting the Margin Distribution.- Detecting a Compact Decision Tree Based on an Appropriate Abstraction.- A New Algorithm to Select Learning Examples from Learning Data.- Data Ranking Based on Spatial Partitioning.- Logical Decision Rules: Teaching C4.5 to Speak Prolog.- Visualisation of Temporal Interval Association Rules.- Lithofacies Characteristics Discovery from Well Log Data Using Association Rules.- Fuzzy Hydrocyclone Modelling for Particle Separation Using Fuzzy Rule Interpolation.- A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles.- Best Harmony Learning.- Observational Learning with Modular Networks.- Finding Essential Attributes in Binary Data.- A Heuristic Optimal Reduct Algorithm.- A Note on Learning Automata Based Schemes for Adaptation of BP Parameters.- A Note on Covariances for Categorical Data.- A General Class of Neural Networks for Principal Component Analysis and Factor Analysis.- Generalised Canonical Correlation Analysis.- Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis.- Temporal Data Mining Using Multilevel-Local Polynomial Models.- First Experiments for Mining Sequential Patterns on Distributed Sites with Multi-Agents.- Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor.- Genetic Programming Prediction of Solar Activity.- Interpretation of the Richardson Plot in Time Series Representation.- Financial Engineering.- Wavelet Methods in PDE Valuation of Financial Derivatives.- Fast Algorithms for Computing Corporate Default Probabilities.- Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation.- Applying Mutual Information to Adaptive Mixture Models.- Stability Analysis of Financial Ratios.- Modeling of the German Yield Curve by Error Correction Neural Networks.- Feature Selection for Support Vector Machines in Financial Time Series Forecasting.- ?-Descending Support Vector Machines for Financial Time Series Forecasting.- Classifying Market States with WARS.- "Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network.- Intelligent Agents.- A Computational Framework for Convergent Agents.- Multi-agent Integer Programming.- Building an Ontology for Financial Investment.- A Multi-Agent Negotiation Algorithm for Load Balancing in CORBA-Based Environment.- Existence of Minority in Multi-Agent Systems using Voronoi Tessellation.- Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning.- A Probabilistic Agent Approach to the Trafic Jam Problem.- Round-Table Architecture for Communication in Multi-agent Softbot Systems.- Mobile Agents for Reliable Migration in Networks.- Internet Applications.- A Construction of the Adapted Ontology Server in EC.- A Design and Implementation of Cyber Banking Process and Settlement System for Internet Commerce.- A Shopping Agent That Automatically Constructs Wrappers for Semi-Structured Online Vendors.- Real-time Web Data Mining and Visualisation.- Web Guide: Filtering and Constraining Site Browsing through Web Walker Techniques.- Topic Spotting on News Articles with Topic Repository by Controlled Indexing.- Validating the Behavior of Self-Interested Agents in an Information Market Scenario.- Discovering User Behavior Patterns in Personalized Interface Agents.- An Agent-Based Personalized Search on a Multi-search Engine Based on Internet Search Service.- A Case-Based Transformation from HTML to XML.- Persistent DOM: An architecture for XML repositories in relational databases.- Multimedia Processing.- Automatic News Video Caption Extraction and Recognition.- Advanced Multilevel Successive Elimination Algorithms for Motion Estimation in Video Coding.- News Content Highlight via Fast Caption Text Detection on Compressed Video.- Texture-based Text Location for Video Indexing.- Video Segmentation by Two Measures and Two Thresholds.- Ink Retrieval from Handwritten Documents.- An Off-Line Recognizer for Hand-Written Chinese Characters.- Bayesian Learning for Image Retrieva Using Multiple Features.- A Content-Based Image Retrieval Method Using Third- Order Color Feature Relations.- Hierarchical Discriminant Regression for Incremental and Real-Time Image Classification.- Distinguishing Real and Virtual Edge Intersection in Pairs of Uncalibrated Images.- Stereo Correspondence Using GA-Based Segmentation.- Special Sessions.- How Adaptive Agents in Stock Market Perform in the Presence of Random News: A Genetic Algorithm Approach.- Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data.- Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming.- Combining Ordinal Financial Predictions with Genetic Programming.- Applying Independent Component Analysis to Factor Model in Finance.- Web-Based Cluster Analysis System for China and Hong Kong's Stock Market.- Arbitrage-Free Asset Pricing in General State Space.- A Tabu Search Based Algorithm for Clustering Categorical Data Sets.- A New Methodology to Compare Algorithms.