Intelligent Data Engineering and Automated Learning 4th International Conference, IDEAL 2003 Hong Kong, China, March 21–23, 2003 Revised Papers

Agents.- A Two-Stage Bayesian Network for Effective Development of Conversational Agent.- Intelligent Agent Technology in E-commerce.- Connected Replicator Dynamics and Their Control in a Learning Multi-agent System.- Agent-Based Modeling of Efficient Markets.- Agent Compromises in Distributed Problem Solving.- A Multi-agent System for Emergency Decision Support.- The Artificial Ecosystem: A Multiagent Architecture.- Noise Correction in Genomic Data.- Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning.- Revocable Anonymity of Undeniable Signature Scheme.- Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent.- An Enhanced Security Model for Mobile Agent System.- A Ring-Based Architectural Model for Middle Agents in Agent-Based System.- Belief Revision for Adaptive Recommender Agents in E-commerce.- Managing Fault Tolerance Information in Multi-agents Based Distributed Systems.- Agent-Based Layered Intelligent Information Integration System Using Ontology and Metadata Registry.- Fluctuation in Multi-agent System of Supermarket Chain Network.- Automated Learning.- A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach.- Learning from Average Experience.- The Inductive Inverse Kinematics Algorithm for Manipulating the Posture of an Articulated Body.- A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting.- On the Effects of Outliers on Evolutionary Optimization.- Initialising Self-Organising Maps.- On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.- Exploiting Heterogeneous Features for Classification Learning.- Locally Balanced Incremental Hierarchical Discriminant Regression.- A Comparative Study of Several Cluster Number Selection Criteria.- Automating Stock Prediction with Neural Network and Evolutionary Computation.- Estimation of Diffusion Parameters by a Nonparametric Drift Function Model.- Temporal Difference Coding in Reinforcement Learning.- Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction.- Generating Explicit Self-Organizing Maps by Information Maximization.- A Clustering Approach to the Vision-Based Interface for Interactive Computer Games.- Evolution at Learning: How to Promote Generalization?.- Automatic Extraction of Moving Objects Using Distributed Genetic Algorithms.- The Approach for Data Warehouse to Answering Spatial OLAP Queries.- A Hybrid Search Algorithm of Ant Colony Optimization and Genetic Algorithm Applied to Weapon-Target Assignment Problems.- Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning.- Dynamic Construction of Category Hierarchy Using Fuzzy Relational Products.- Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization.- AD+Tree: A Compact Adaptation of Dynamic AD-Trees for Efficient Machine Learning on Large Data Sets.- Evolvable Hardware Using Genetic Programming.- Minimal Addition-Subtraction Sequences for Efficient Pre-processing in Large Window-Based Modular Exponentiation Using Genetic Algorithms.- Hybrid Recommendation: Combining Content-Based Prediction and Collaborative Filtering.- A Tolerance Concept in Data Clustering.- Power Control and Evolutionary Computation in CDMA Cellular Radio Networks.- A Novel Multiobjective Evolutionary Algorithm Based on Min-Max Strategy.- Dynamics of Gradient-Based Learning and Applications to Hyperparameter Estimation.- Nonlinear Multidimensional Data Projection and Visualisation.- Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.- On Hadamard-Type Output Coding in Multiclass Learning.- An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach.- Empirical Comparison between Two Computational Strategies for Topological Self-Organization.- A Novel Orthogonal Simulated Annealing Algorithm for Optimization of Electromagnetic Problems.- Diversity Control to Improve Convergence Rate in Genetic Algorithms.- A Perception Evaluation Scheme for Steganography.- Clustering Individuals in Non-vector Data and Predicting: A Novel Model-Based Approach.- A Fuzzy Multi-criteria Decision Model for Information System Security Investment.- Blind Equalization Using RBF and HOS.- A Guided Monte Carlo Approach to Optimization Problems.- Editing and Training for ALVOT, an Evolutionary Approach.- Consensus-Based Adaptive Interface Construction for Multiplatform Web Applications.- Portfolio Management for Pension Funds.- Multiple Ant Colony Optimization for Load Balancing.- Exploring Memory Access Regularity in Pointer-Intensive Application Programs.- Nonlinear Dimension Reduction via Local Tangent Space Alignment.- Bioinformatics.- System for Intelligent Processing and Recognition of Auditory Brainstem Response (ABR ) Signals.- Protein Structure Modeling Using a Spatial Model for Structure Comparison.- DNA Algorithms for Rough Set Analysis.- Input Selection and Rule Generation in Adaptive Neuro-fuzzy Inference System for Protein Structure Prediction.- Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps.- Probability Model Type Sufficiency.- Higher-Order Hidden Markov Models with Applications to DNA Sequences.- Classification of the Risk Types of Human Papillomavirus by Decision Trees.- Data Mining.- An Effective Rough Set-Based Method for Text Classification.- Abrupt Shot Change Detection Using Multiple Features and Classification Tree.- On a Lip Print Recognition by the Pattern Kernel with Multi-resolution Architecture.- A XML-Based Data Communication Solution for Program Mining.- Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.- Extraction of Dynamic User Behaviors from Web Logs.- SEMIR: Semantic Indexing and Retrieving Web Document Using Rhetorical Structure Theory.- Generating Representative from Clusters of Association Rules on Numeric Attributes.- Grid-Based Indexing for Large Time Series Databases.- E.Coli Search: Self Replicating Agents for Web Based Information Retrieval.- An Efficient Mining Method for Incremental Updation in Large Databases.- Selectivity Estimation for Optimizing Similarity Query in Multimedia Databases.- Related Factors of Document Classification Performance in a Highly Inflectional Language.- Customer Loyalty on Recurring Loans.- Convolution Kernels for Outliers Detection in Relational Data.- Association Rule Mining Algorithms for Set-Valued Data.- A Data Mining Based Intrusion Detection Model.- Semantics Based Information Retrieval Using Conceptual Indexing of Documents.- Experiences of Using a Quantitative Approach for Mining Association Rules.- Global B+ Tree Indexing in Parallel Database Systems.- Efficient Execution of Parallel Aggregate Data Cube Queries in Data Warehouse Environments.- An Optimal Approach to Mining Boolean Functions from Noisy Data.- Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites.- Metasearch via Voting.- Peculiarity Oriented Mining in Multiple Human Brain Data.- Automatic Classification and Clustering of Caenorhabditis Elegans Using a Computer Vision System.- A Concept-Based Inter-lingua and Its Applications to Multilingual Text and Web Mining.- Flexible Decision Trees in a General Data-Mining Environment.- Developing a Directory of Search Engines for Meta-searching.- A Unified, Adjustable, and Extractable Biological Data Mining-Broker.- Nested State-Transition Graph Model of User Behaviors.- Design of Data-Mining Application Software Based on Object-Oriented Approach.- Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory.- A Virtual Join Algorithm for Fast Association Rule Mining.- Packet Filtering Using a Decision Tree Classifier.- An XML Query Mediator.- Potential Gains from Global Market