Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
C4.5: programs for machine learning
C4.5: programs for machine learning
Variable precision rough set model
Journal of Computer and System Sciences
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Parallel communicating grammar systems with negotiation
Fundamenta Informaticae - Special issue: to the memory of Prof. Helena Rasiowa
Statistical evaluation of rough set dependency analysis
International Journal of Human-Computer Studies
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Rough mereological foundations for design, analysis, synthesis, and control in distributed systems
Information Sciences: an International Journal - From rough sets to soft computing
Fundamenta Informaticae
Data mining methods for knowledge discovery
Data mining methods for knowledge discovery
Discovery tools for science apps
Communications of the ACM
Contributions to the theory of rough sets
Fundamenta Informaticae
Rough sets and association rule generation
Fundamenta Informaticae
Rough mereology in information systems. A case study: qualitative spatial reasoning
Rough set methods and applications
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning
Rough Sets and Data Mining: Analysis of Imprecise Data
Rough Sets and Data Mining: Analysis of Imprecise Data
Incomplete Information: Rough Set Analysis
Incomplete Information: Rough Set Analysis
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Parallel Algorithms for Discovery of Association Rules
Data Mining and Knowledge Discovery
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Generation of Rules from Incomplete Information Systems
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Boolean Reasoning Scheme with Some Applications in Data Mining
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Taming Large Rule Models in Rough Set Approaches
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Efficient SQL-Querying Method for Data Mining in Large Data Bases
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Rough Sets and Knowledge Discovery: An Overview
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
A bibliography of temporal, spatial and spatio-temporal data mining research
ACM SIGKDD Explorations Newsletter
Ten challenges in propositional reasoning and search
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Applying rough sets to market timing decisions
Decision Support Systems - Special issue: Data mining for financial decision making
Information Sciences: an International Journal
A Grey-Rough Set Approach for Interval Data Reduction of Attributes
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Real formal concept analysis based on grey-rough set theory
Knowledge-Based Systems
Action rule extraction from a decision table: ARED
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Multi-granularity classification rule discovery using ERID
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
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In recent years we witness a rapid growth of interest in rough set theory and its applications, worldwide. The theory has been followed by the development of several software systems that implement rough set operations, in particular for solving knowledge discovery and data mining tasks. Rough sets are applied in domains, such as, for instance, medicine, finance, telecommunication, vibration analysis, conflict resolution, intelligent agents, pattern recognition, control theory, signal analysis, process industry, marketing, etc.We introduce basic notions and discuss methodologies for analyzing data and surveys some applications. In particular we present applications of rough set methods for feature selection, feature extraction, discovery of patterns and their applications for decomposition of large data tables as well as the relationship of rough sets with association rules. Boolean reasoning is crucial for all the discussed methods.We also present an overview of some extensions of the classical rough set approach. Among them is rough mereology developed as a tool for synthesis of objects satisfying a given specification in a satisfactory degree. Applications of rough mereology in such areas like granular computing, spatial reasoning and data mining in distributed environment are outlined.