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.