Intelligent Data Engineering and Automated Learning - IDEAL 2004

Classification of Rock Images
- A Mixture of Experts Image Enhancement Scheme for CCTV Images
- Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query
- Unsupervised Segmentation on Image with JSEG Using Soft Class Map
- DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets
- A Fuzzy Set Based Trust and Reputation Model in P2P Networks
- Video Based Human Behavior Identification Using Frequency Domain Analysis
- Mobile Data Mining by Location Dependencies
- An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution
- On a Detection of Korean Prosody Phrases Boundaries
- A Collision Avoidance System for Autonomous Ship Using Fuzzy Relational Products and COLREGs
- Engineering Knowledge Discovery in Network Intrusion Detection
- False Alarm Classification Model for Network-Based Intrusion Detection System
- Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
- Surface Spatial Index Structure of High-Dimensional Space
- Generating and Applying Rules for Interval Valued Fuzzy Observations
- Automatic Video Shot Boundary Detection Using Machine Learning
- On Building XML Data Warehouses
- A Novel Method for Mining Frequent Subtrees from XML Data
- Mining Association Rules Using Relative Confidence
- Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks
- An Effective Distributed Privacy-Preserving Data Mining Algorithm
- Dimensionality Reduction with Image Data
- Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles
- Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling
- Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms
- PRICES: An Efficient Algorithm for Mining Association Rules
- Combination of SVM Knowledge for Microcalcification Detection in Digital Mammograms
- Char: An Automatic Way to Describe Characteristics of Data
- Two Methods for Automatic 3D Reconstruction from Long Un-calibrated Sequences
- Wrapper for Ranking Feature Selection
- Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search
- Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns
- Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
- Comparing Study for Detecting Microcalcifications in Digital Mammogram Using Wavelets
- A Hybrid Multi-layered Speaker Independent Arabic Phoneme Identification System
- Feature Selection for Natural Disaster Texts Classification Using Testors
- Mining Large Engineering Data Sets on the Grid Using AURA
- Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems
- Ontology-Based Web Navigation Assistant
- A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis
- Combining Rules for Text Categorization Using Dempster's Rule of Combination
- Genetic Program Based Data Mining for Fuzzy Decision Trees
- Automating Co-evolutionary Data Mining
- Topological Tree for Web Organisation, Discovery and Exploration
- New Medical Diagnostic Method for Oriental Medicine Using BYY Harmony Learning
- An Intelligent Topic-Specific Crawler Using Degree of Relevance
- Development of a Global and Integral Model of Business Management Using an Unsupervised Model
- Spam Mail Detection Using Artificial Neural Network and Bayesian Filter
- An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images
- Using Fuzzy Sets in Contextual Word Similarity
- Summarizing Time Series: Learning Patterns in 'Volatile' Series
- Cosine Transform Priors for Enhanced Decoding of Compressed Images
- Partial Discharge Classification Through Wavelet Packets of Their Modulated Ultrasonic Emission
- A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration
- Cluster-Based Visualisation of Marketing Data
- Dynamic Symbolization of Streaming Time Series
- A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment
- An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses
- Spam Classification Using Nearest Neighbour Techniques
- Learning Algorithms and Systems
- Kernel Density Construction Using Orthogonal Forward Regression
- Orthogonal Least Square with Boosting for Regression
- New Applications for Object Recognition and Affine Motion Estimation by Independent Component Analysis
- Personalized News Reading via Hybrid Learning
- Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters
- DIVACE: Diverse and Accurate Ensemble Learning Algorithm
- Parallel Processing for Movement Detection in Neural Networks with Nonlinear Functions
- Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions
- Finding Minimal Addition Chains Using Ant Colony
- Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
- A Variable Metric Probabilistic k-Nearest-Neighbours Classifier
- Feature Word Tracking in Time Series Documents
- Combining Gaussian Mixture Models
- Global Convergence of Steepest Descent for Quadratic Functions
- Boosting Orthogonal Least Squares Regression
- Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition
- Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection
- Improving Support Vector Solutions by Selecting a Sequence of Training Subsets
- Machine Learning for Matching Astronomy Catalogues
- Boosting the Tree Augmented Naïve Bayes Classifier
- Clustering Model Selection for Reduced Support Vector Machines
- Generating the Reduced Set by Systematic Sampling
- Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles
- Policy Gradient Method for Team Markov Games
- An Information Theoretic Optimal Classifier for Semi-supervised Learning
- Improving Evolutionary Algorithms by a New Smoothing Technique
- In-Situ Learning in Multi-net Systems
- Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules
- Co-training from an Incremental EM Perspective
- Locally Tuned General Regression for Learning Mixture Models Using Small Incomplete Data Sets with Outliers and Overlapping Classes
- Financial Engineering
- Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach
- Cardinality Constrained Portfolio Optimisation
- Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
- Detecting Credit Card Fraud by Using Questionnaire-Responded Transaction Model Based on Support Vector Machines
- Volatility Forecasts in Financial Time Series with HMM-GARCH Models
- Agent Technologies
- User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
- Comparing Measures of Agreement for Agent Attitudes
- Hierarchical Agglomerative Clustering for Agent-Based Dynamic Collaborative Filtering
- Learning Users' Interests in a Market-Based Recommender System
- Visualisation of Multi-agent System Organisations Using a Self-organising Map of Pareto Solutions