Rough Sets – Introduction.- Some Issues on Rough Sets.- Rough Sets – Theory.- Learning Rules from Very Large Databases Using Rough Multisets.- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction.- Generalizations of Rough Sets and Rule Extraction.- Towards Scalable Algorithms for Discovering Rough Set Reducts.- Variable Precision Fuzzy Rough Sets.- Greedy Algorithm of Decision Tree Construction for Real Data Tables.- Consistency Measures for Conflict Profiles.- Layered Learning for Concept Synthesis.- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis.- A Partition Model of Granular Computing.- Rough Sets – Applications.- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets.- Processing of Musical Metadata Employing Pawlak’s Flow Graphs.- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values.- Rough Sets and Relational Learning.- Approximation Space for Software Models.- Application of Rough Sets to Environmental Engineering Models.- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients.- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.