Rough Sets and Knowledge Technology : First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings

Commemorative Paper.- Some Contributions by Zdzis?aw Pawlak.- Keynote Papers.- Conflicts and Negotations.- Hierarchical Machine Learning – A Learning Methodology Inspired by Human Intelligence.- Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation.- Towards Network Autonomy.- Plenary Papers.- A Roadmap from Rough Set Theory to Granular Computing.- Partition Dependencies in Hierarchies of Probabilistic Decision Tables.- Knowledge Theory and Artificial Intelligence.- Applications of Knowledge Technologies to Sound and Vision Engineering.- A Rough Set Approach to Data with Missing Attribute Values.- Cognitive Neuroscience and Web Intelligence.- Cognitive Informatics and Contemporary Mathematics for Knowledge Manipulation.- Rough Mereological Reasoning in Rough Set Theory: Recent Results and Problems.- Theoretical Study of Granular Computing.- Knowledge Discovery by Relation Approximation: A Rough Set Approach.- Rough Computing.- Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices.- A New Discernibility Matrix and Function.- The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model.- On Axiomatic Characterization of Approximation Operators Based on Atomic Boolean Algebras.- Rough Set Attribute Reduction in Decision Systems.- A New Extension Model of Rough Sets Under Incomplete Information.- Applying Rough Sets to Data Tables Containing Possibilistic Information.- Redundant Data Processing Based on Rough-Fuzzy Approach.- Further Study of the Fuzzy Reasoning Based on Propositional Modal Logic.- The M-Relative Reduct Problem.- Rough Contexts and Rough-Valued Contexts.- Combination Entropy and Combination Granulation in Incomplete Information System.- An Extension of Pawlak’s Flow Graphs.- Rough Sets and Brouwer-Zadeh Lattices.- Covering-Based Generalized Rough Fuzzy Sets.- Axiomatic Systems of Generalized Rough Sets.- Rough-Sets-Based Combustion Status Diagnosis.- Research on System Uncertainty Measures Based on Rough Set Theory.- Conflict Analysis and Information Systems: A Rough Set Approach.- A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets.- Function S-Rough Sets and Recognition of Financial Risk Laws.- Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence.- Decision Rules Extraction Strategy Based on Bit Coded Discernibility Matrix.- Attribute Set Dependence in Apriori-Like Reduct Computation.- Some Methodological Remarks About Categorical Equivalences in the Abstract Approach to Roughness – Part I.- Some Methodological Remarks About Categorical Equivalences in the Abstract Approach to Roughness – Part II.- Lower Bounds on Minimal Weight of Partial Reducts and Partial Decision Rules.- On Reduct Construction Algorithms.- Association Reducts: Boolean Representation.- Notes on Rough Sets and Formal Concepts.- Evolutionary Computing.- High Dimension Complex Functions Optimization Using Adaptive Particle Swarm Optimizer.- Adaptive Velocity Threshold Particle Swarm Optimization.- Fuzzy Sets.- Relationship Between Inclusion Measure and Entropy of Fuzzy Sets.- A General Model for Transforming Vague Sets into Fuzzy Sets.- An Iterative Method for Quasi-Variational-Like Inclusions with Fuzzy Mappings.- Granular Computing.- Application of Granular Computing in Knowledge Reduction.- Advances in the Quotient Space Theory and Its Applications.- The Measures Relationships Study of Three Soft Rules Based on Granular Computing.- Neural Computing.- A Generalized Neural Network Architecture Based on Distributed Signal Processing.- Worm Harm Prediction Based on Segment Procedure Neural Networks.- Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks.- A Constructive Algorithm for Training Heterogeneous Neural Network Ensemble.- Machine Learning and KDD.- Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM).- Mining Biologically Significant Co-regulation Patterns from Microarray Data.- Fast Algorithm for Mining Global Frequent Itemsets Based on Distributed Database.- A VPRSM Based Approach for Inducing Decision Trees.- Differential Evolution Fuzzy Clustering Algorithm Based on Kernel Methods.- Classification Rule Mining Based on Particle Swarm Optimization.- A Bottom-Up Distance-Based Index Tree for Metric Space.- Subsequence Similarity Search Under Time Shifting.- Developing a Rule Evaluation Support Method Based on Objective Indices.- Data Dimension Reduction Using Rough Sets for Support Vector Classifier.- A Comparison of Three Graph Partitioning Based Methods for Consensus Clustering.- Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM.- Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions.- Credit Risk Evaluation with Least Square Support Vector Machine.- The Research of Sampling for Mining Frequent Itemsets.- ECPIA: An Email-Centric Personal Intelligent Assistant.- A Novel Fuzzy C-Means Clustering Algorithm.- Document Clustering Based on Modified Artificial Immune Network.- A Novel Approach to Attribute Reduction in Concept Lattices.- Granule Sets Based Bilevel Decision Model.- An Enhanced Support Vector Machine Model for Intrusion Detection.- A Modified K-Means Clustering with a Density-Sensitive Distance Metric.- Swarm Intelligent Tuning of One-Class ?-SVM Parameters.- A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection.- The Generalization Performance of Learning Machine with NA Dependent Sequence.- Using RS and SVM to Detect New Malicious Executable Codes.- Applying PSO in Finding Useful Features.- Logics and Reasoning.- Generalized T-norm and Fractional “AND” Operation Model.- Improved Propositional Extension Rule.- Web Services-Based Digital Library as a CSCL Space Using Case-Based Reasoning.- Using Description Logic to Determine Seniority Among RB-RBAC Authorization Rules.- The Rough Logic and Roughness of Logical Theories.- Multiagent Systems and Web Intelligence.- Research on Multi-Agent Service Bundle Middleware for Smart Space.- A Customized Architecture for Integrating Agent Oriented Methodologies.- A New Method for Focused Crawler Cross Tunnel.- Migration of the Semantic Web Technologies into E-Learning Knowledge Management.- Opponent Learning for Multi-agent System Simulation.- Pattern Recognition.- A Video Shot Boundary Detection Algorithm Based on Feature Tracking.- Curvelet Transform for Image Authentication.- An Image Segmentation Algorithm for Densely Packed Rock Fragments of Uneven Illumination.- A New Chaos-Based Encryption Method for Color Image.- Support Vector Machines Based Image Interpolation Correction Scheme.- Pavement Distress Image Automatic Classification Based on DENSITY-Based Neural Network.- Towards Fuzzy Ontology Handling Vagueness of Natural Languages.- Evoked Potentials Estimation in Brain-Computer Interface Using Support Vector Machine.- Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method.- Multi-objective Blind Image Fusion.- System Engineering and Description.- The Design of Biopathway’s Modelling and Simulation System Based on Petri Net.- Timed Hierarchical Object-Oriented Petri Net-Part I: Basic Concepts and Reachability Analysis.- Approximate Semantic Query Based on Multi-agent Systems.- Real-Life Applications Based on Knowledge Technology.- Swarm Intelligent Analysis of Independent Component and Its Application in Fault Detection and Diagnosis.- Using VPRS to Mine the Significance of Risk Factors in IT Project Management.- Mining of MicroRNA Expression Data—A Rough Set Approach.- Classifying Email Using Variable Precision Rough Set Approach.- Facial Expression Recognition Based on Rough Set Theory and SVM.- Gene Selection Using Rough Set Theory.- Attribute Reduction Based Expected Outputs Generation for Statistical Software Testing.- FADS: A Fuzzy Anomaly Detection System.- Gene Selection Using Gaussian Kernel Support Vector Machine Based Recursive Feature Elimination with Adaptive Kernel Width Strategy.