Rough Sets and Knowledge Technology

Inhaltsverzeichnis

• Invited Papers.
• Decision-Theoretic Rough Set Models.
• Efficient Attribute Reduction Based on Discernibility Matrix.
• Near Sets. Toward Approximation Space-Based Object Recognition.
• Rough Set Foundations.
• On Covering Rough Sets.
• On Transitive Uncertainty Mappings.
• A Complete Method to Incomplete Information Systems.
• Information Concept Lattice and Its Reductions.
• Homomorphisms Between Relation Information Systems.
• Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems.
• Entropies and Co–entropies for Incomplete Information Systems.
• Granular Computing Based on a Generalized Approximation Space.
• A General Definition of an Attribute Reduct.
• Multiple Criteria Decision Analysis.
• Mining Associations for Interface Design.
• Optimized Generalized Decision in Dominance-Based Rough Set Approach.
• Monotonic Variable Consistency Rough Set Approaches.
• Bayesian Decision Theory for Dominance-Based Rough Set Approach.
• Ranking by Rough Approximation of Preferences for Decision Engineering Applications.
• Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease.
• Biometrics.
• Singular and Principal Subspace of Signal Information System by BROM Algorithm.
• Biometric Verification by Projections in Error Subspaces.
• Absolute Contrasts in Face Detection with AdaBoost Cascade.
• Voice Activity Detection for Speaker Verification Systems.
• Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points.
• Iris Recognition with Adaptive Coding.
• Kansei Engineering.
• Overview of Kansei System and Related Problems.
• Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules.
• Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering.
• Functional Data Analysis and ItsApplication.
• Evaluation of Pictogram Using Rough Sets.
• A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval.
• Autonomy-Oriented Computing.
• A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.
• A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems.
• An Efficient Probabilistic Approach to Network Community Mining.
• A New Approach to Underdetermined Blind Source Separation Using Sparse Representation.
• Soft Computing in Bioinformatics.
• Evolutionary Fuzzy Biclustering of Gene Expression Data.
• Rough Clustering and Regression Analysis.
• Rule Induction for Prediction of MHC II-Binding Peptides.
• Efficient Local Protein Structure Prediction.
• Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data.
• Ubiquitous Computing and Networking.
• Ubiquitous Customer Relationship Management (uCRM).
• Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment.
• Wave Dissemination for Wireless Sensor Networks.
• Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks.
• Rough Set Algorithms.
• Set Approximations in Multi-level Conceptual Data.
• Knowledge Reduction in Generalized Consistent Decision Formal Contexts.
• Graphical Representation of Information on the Set of Reducts.
• Minimal Attribute Space Bias for Attribute Reduction.
• Two-Phase ?-Certain Reducts Generation.
• Formal Concept Analysis and Set-Valued Information Systems.
• Descriptors and Templates in Relational Information Systems.
• ROSA: An Algebra for Rough Spatial Objects in Databases.
• Knowledge Representation and Reasoning.
• Learning Models Based on Formal Concept.
• Granulation Based Approximate Ontologies Capture.
• Fuzzy-ValuedTransitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning.
• Model Composition in Multi-dimensional Data Spaces.
• An Incremental Approach for Attribute Reduction in Concept Lattice.
• Topological Space for Attributes Set of a Formal Context.
• Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems.
• Approximation Space-Based Socio-Technical Conflict Model.
• Genetic Algorithms.
• Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals.
• Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation.
• A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms.
• Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example.
• Rough Set Applications.
• An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory.
• Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items.
• Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets.
• Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy.
• Descent Rules for Championships.
• Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction.
• Counting All Common Subsequences to Order Alternatives.