Rough Sets and Intelligent Systems Paradigms

Inhaltsverzeichnis

• Keynote Presentations.
• Granular Computing and Rough Set Theory.
• Dominance-Based Rough Set Approach to Reasoning About Ordinal Data.
• Invited Papers.
• Mining Numerical Data—A Rough Set Approach.
• Rough Sets and Approximation Schemes.
• Generalizing Data in Natural Language.
• Hierarchical Rough Classifiers.
• Discrete Duality and Its Applications to Reasoning with Incomplete Information.
• Toward Approximate Adaptive Learning.
• Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications.
• MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System.
• Medical Reasoning and Rough Sets.
• The Art of Granular Computing.
• Dependencies in Structures of Decision Tables.
• Foundations of Rough Sets.
• Rough Sets and Vague Sets.
• Consistency-Degree Between Knowledges.
• On Three Closely Related Rough Inclusion Functions.
• Rough Set Theory from a Math-Assistant Perspective.
• Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems.
• On Covering Attribute Sets by Reducts.
• Applying Rough Sets to Data Tables Containing Missing Values.
• Category-Based Rough Induction.
• Finding the Reduct Subject to Preference Order of Attributes.
• Foundations and Applications of Fuzzy Sets.
• Transformation of Fuzzy Takagi-Sugeno Models into Piecewise Affine Models.
• Set Operations for L-Fuzzy Sets.
• Linguistic Summarization of Time Series Under Different Granulation of Describing Features.
• Type-2 Fuzzy Summarization of Data: An Improved News Generating.
• Granular Computing.
• A Note on Granular Sets and Their Relation to Rough Sets.
• Inference and Reformation in Flow Graphs Using Granular Computing.
• On Granular Rough Computing with Missing Values.
• On Granular RoughComputing: Factoring Classifiers Through Granulated Decision Systems.
• A Rough Set Based Map Granule.
• Modeling of High Quality Granules.
• Algorithmic Aspects of Rough Sets.
• Attribute Core Computation Based on Divide and Conquer Method.
• Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute.
• A Simple Reduction Analysis and Algorithm Using Rough Sets.
• Rough Set Applications (Invited).
• Mining Mass Spectrometry Database Search Results—A Rough Set Approach.
• Rough Set Approach to Spam Filter Learning.
• Web-Based Support Systems with Rough Set Analysis.
• Interpreting Low and High Order Rules: A Granular Computing Approach.
• Rough - Fuzzy Approach.
• Attribute Reduction Based on Fuzzy Rough Sets.
• On Logic with Fuzzy and Rough Powerset Monads.
• A Grey-Rough Set Approach for Interval Data Reduction of Attributes.
• Information Systems and Rough Sets (Invited).
• Minimal Templates and Knowledge Discovery.
• Universal Attribute Reduction Problem.
• Applying Rough Set Theory to Medical Diagnosing.
• Graph-Based Knowledge Representations for Decision Support Systems.
• Rough Sets in Oligonucleotide Microarray Data Analysis.
• From an Information System to a Decision Support System.
• Data and Text Mining.
• Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules.
• Frequent Events and Epochs in Data Stream.
• Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream.
• Outlier Detection: An Approximate Reasoning Approach.
• Discovering Compound and Proper Nouns.
• Discovering Synonyms Based on Frequent Termsets.
• A Summary Structure of Data Cube Preserving Semantics.
• Mining Association Rules with Respect to Support and Anti-support-Experimental Results.
• Developing Data Warehouse for Simulation Experiments.
• Machine Learning.
• Classification of Complex Structured Objects on the Base of Similarity Degrees.
• Application of Parallel Decomposition for Creation of Reduced Feed-Forward Neural Networks.
• Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles.
• Hybrid Methods and Applications.
• Monotonic Behavior of Entropies and Co–entropies for Coverings with Respect to Different Quasi–orderings.
• Design and Implementation of Rough Rules Generation from Logical Rules on FPGA Board.
• A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application.
• Operations on Interval Matrices.
• The Diffie–Hellman Problem in Lie Algebras.
• Software Defect Classification: A Comparative Study with Rough Hybrid Approaches.
• Dimensionality Reduction Using Rough Set Approach for Two Neural Networks-Based Applications.
• Decision Tables in Petri Net Models.
• Two Types of Generalized Variable Precision Formal Concepts.
• Multiagent Systems.
• Dynamics of Approximate Information Fusion.
• Coevolution of a Fuzzy Rule Base for Classification Problems.
• Towards Agent-Based Evolutionary Planning in Transportation Systems.
• Exploiting Rough Argumentation in an Online Dispute Resolution Mediator.
• Semantic Service Discovery with QoS Measurement in Universal Network.
• Applications in Bioinformatics and Medicine.
• Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing Selection.
• Indiscernibility Relation for Continuous Attributes: Application in Image Recognition.
• Clustering of Leaf-Labelled Trees on Free Leafset.
• Checking Brain Expertise Using Rough Set Theory.
• Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets.
• An Improved SVM Classifier for Medical Image Classification.
• Multimedia Applications.
• Searching for Metric Structure of Musical Files.
• Parameter-Based Categorization for Musical Instrument Retrieval.
• Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets.
• Web Reasoning and Human Problem Solving (Invited).
• A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL.
• Filtering and Sophisticated Data Processing for Web Information Gathering.
• An Investigation of Human Problem Solving System: Computation as an Example.