Keynote Papers.- In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way.- Toward a Theory of Hierarchical Definability (THD).- Plenary Papers.- Modelling Biological Phenomena with Rough Sets.- Database Mining on Derived Attributes Granular and Rough Computing Approach.- A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems.- Rough Set Analysis of Preference-Ordered Data.- Fuzzy Sets, Multi-valued Mappings, and Rough Sets.- Foundations and Methods I.- Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model.- A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations.- Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets.- Dominance-Based Rough Set Approach Using Possibility and Necessity Measures.- Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs.- Generalized Rough Sets and Rule Extraction.- Towards a Mereological System for Direct Products and Relations.- On the Structure of Rough Approximations.- Modification of Weights of Conflict Profile's Elements and Dependencies of Attributes in Consensus Model.- Reasoning about Information Granules Based on Rough Logic.- Foundations and Methods II.- A Rough Set Framework for Learning in a Directed Acyclic Graph.- On Compressible Information Systems.- Functional Dependencies in Relational Expressions Based on Or-Sets.- On Asymptotic Properties of Rough- Set- Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems.- About Tolerance and Similarity Relations in Information Systems.- Rough Sets, Guarded Command Language, and Decision Rules.- Collaborative Query Processing in DKS Controlled by Reducts.- A New Method for Determining of Extensions and Restrictions of Information Systems.- A Logic Programming Framework for Rough Sets.- Attribute Core of Decision Table.- Foundations and Methods III.- Signal Analysis Using Rough Integrals.- How Much Privacy? - A System to Safe Guard Personal Privacy while Releasing Databases.- Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset.- Concept Learning with Approximation: Rough Version Spaces.- Variable Consistency Monotonic Decision Trees.- Importance and Interaction of Conditions in Decision Rules.- Time Complexity of Rough Clustering: GAs versus K-Means.- Induction of Decision Rules and Classification in the Valued Tolerance Approach.- Time Series Model Mining with Similarity-Based Neuro-fuzzy Networks and Genetic Algorithms: A Parallel Implementation.- Granular and Neuro Computing.- Closeness of Performance Map Information Granules: A Rough Set Approach.- Granular Computing on Binary Relations Analysis of Conflict and Chinese Wall Security Policy.- Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach.- Rough Neurocomputing: A Survey of Basic Models of Neurocomputation.- Rough Neurocomputing Based on Hierarchical Classifiers.- Using Granular Objects in Multi-source Data Fusion.- Induction of Classification Rules by Granular Computing.- Probabilistic Reasoning.- Acquisition Methods for Contextual Weak Independence.- A Method for Detecting Context-Specific Independence in Conditional Probability Tables.- Properties of Weak Conditional Independence.- A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event.- Approximate Bayesian Network Classifiers.- Accuracy and Coverage in Rough Set Rule Induction.- Statistical Test for Rough Set Approximation Based on Fisher's Exact Test.- Triangulation of Bayesian Networks: A Relational Database Perspective.- Data Mining, Machine Learning, and Pattern Recognition.- A New Version of Rough Set Exploration System.- Local Attribute Value Grouping for Lazy Rule Induction.- Incomplete Data Decomposition for Classification.- Extension of Relational Management Systems with Data Mining Capabilities.- Reducing Number of Decision Rules by Joining.- Scalable Classification Method Based on Rough Sets.- Parallel Data Mining Experimentation Using Flexible Configurations.- An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints.- Patterns in Information Maps.- Discernibility Matrix Approach to Exception Analysis.- Gastric Cancer Data Mining with Ordered Information.- Web Mining.- A Granular Approach for Analyzing the Degree of Affability of a Web Site.- Comparison of Classification Methods for Customer Attrition Analysis.- User Profile Model: A View from Artificial Intelligence.- Mining the Client's Life Cycle Behaviour in the Web.- PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques.- VPRSM Approach to WEB Searching.- Applications I.- Rough Set Approach to the Survival Analysis.- The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model.- A Search for the Best Data Mining Method to Predict Melanoma.- Towards the Classification of Musical Works: A Rough Set Approach.- Segmentation of Medical Images Based on Approximations in Rough Set Theory.- Adaptive Robust Estimation for Filtering Motion Vectors.- Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications.- Applications II.- ?-Connected Approximations for Rough Sets.- Adaptive Classifier Construction: An Approach to Handwritten Digit Recognition.- The Application of Support Diagnose in Mitochondrial Encephalomyopathies.- Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach.- Rough Neural Network for Software Change Prediction.- Handling Spatial Uncertainty in Binary Images: A Rough Set Based Approach.- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials.- Rough Mereological Localization and Navigation.