Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Multiknowledge for decision making
Knowledge and Information Systems
A new rough sets model based on database systems
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Jumping emerging patterns with negation in transaction databases - Classification and discovery
Information Sciences: an International Journal
Efficient Discovery of Top-K Minimal Jumping Emerging Patterns
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Local projection in jumping emerging patterns discovery in transaction databases
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Transactions on rough sets XII
Local reducts and jumping emerging patterns in relational databases
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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In the paper we propose a novel approach to finding rough set reducts in information systems. Our method combines an apriori-like scheme of space traversing with an efficient pruning condition based on attribute set dependence. Moreover, we discuss theoretical and implementational aspects of our pruning procedure