Intelligent Data Engineering and Automated Learning - IDEAL 2002

This book constitutes the refereed proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002, held in Manchester, UK in August 2002.
The 89 revised papers presented were carefully reviewed and selected from more than 150 submissions. The book offers topical sections on data mining, knowledge engineering, text and document processing, internet applications, agent technology, autonomous mining, financial engineering, bioinformatics, learning systems, and pattern recognition.

Inhalt

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.