Intelligent Data Engineering and Automated Learning - IDEAL 2002

Data Mining.- Mining Frequent Sequential Patterns under a Similarity Constraint.- Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains.- Data Mining for Fuzzy Decision Tree Structure with a Genetic Program.- Co-evolutionary Data Mining to Discover Rules for Fuzzy Resource Management.- Discovering Temporal Rules from Temporally Ordered Data.- Automated Personalisation of Internet Users Using Self-Organising Maps.- Data Abstractions for Numerical Attributes in Data Mining.- Calculating Aggregates with Range-Encoded Bit-Sliced Index.- T3: A Classification Algorithm for Data Mining.- A Hierarchical Model to Support Kansei Mining Process.- Evolving SQL Queries for Data Mining.- Indexing and Mining of the Local Patterns in Sequence Database.- Knowledge Engineering.- A Knowledge Discovery by Fuzzy Rule Based Hopfield Network.- Fusing Partially Inconsistent Expert and Learnt Knowledge in Uncertain Hierarchies.- Organisational Information Management and Knowledge Discovery in Email within Mailing Lists.- Design of Multi-drilling Gear Machines by Knowledge Processing and Machine Simulation.- Text and Document Processing.- Classification of Email Queries by Topic: Approach Based on Hierarchically Structured Subject Domain.- A Knowledge-Based Information Extraction System for Semi-structured Labeled Documents.- Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks.- Extraction of Hidden Semantics from Web Pages.- Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information.- Schema Discovery of the Semi-structured and Hierarchical Data.- RSTIndex: Indexing and Retrieving Web Document Using Computational and Linguistic Techniques.- A Case-Based Recognition of Semantic Structures in HTML Documents.- Expeditious XML Processing.- Document Clustering Using the 1 + 1 Dimensional Self-Organising Map.- Natural Language Processing for Expertise Modelling in E-mail Communication.- Internet 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.