Minimal cost set covering using probabilistic methods
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Variable precision rough set model
Journal of Computer and System Sciences
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
From optimal hyperplanes to optimal decision trees
Fundamenta Informaticae
Rough sets and association rule generation
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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
Efficient SQL-Querying Method for Data Mining in Large Data Bases
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Covering with Reducts - A Fast Algorithm for Rule Generation
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Discretization Problem for Rough Sets Methods
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Approximate Reducts and Association Rules - Correspondence and Complexity Results
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Computing Prime Implicants by Integer Programming
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
On Efficient Handling of Continuous Attributes in Large Data Bases
Fundamenta Informaticae
Ten challenges in propositional reasoning and search
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
A view on rough set concept approximations
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Computers & Mathematics with Applications
Rough Neural Network Based on Bottom-Up Fuzzy Rough Data Analysis
Neural Processing Letters
Hybrid rough sets intelligent system architecture for survival analysis
Transactions on rough sets VII
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
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Many problems in rough set theory have been successfully solved by boolean reasoning (BR) approach. The disadvantage of this elegant methodology is based on its high space and time complexity. In this paper we present a modified BR approach that can overcome those difficulties. This methodology is called the approximate boolean reasoning (ABR) approach. We summarize some most recent applications of ABR approach in development of new efficient algorithms in rough sets and data mining.