Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Rough set algorithms in classification problem
Rough set methods and applications
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
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Fast Algorithms for Mining Emerging Patterns
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Multiknowledge for decision making
Knowledge and Information Systems
IEEE Transactions on Knowledge and Data Engineering
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
Conjugate information systems: learning cognitive concepts in rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Transactions on rough sets XII
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In the paper we propose a novel approach to finding roughset reducts in information systems. Our method combines an apriorilikescheme of space traversing with an efficient pruning condition basedon attribute set dependence. Moreover, we discuss theoretical and implementationalaspects of our pruning procedure, including adopting abst and a trie tree for storing set collections. Operation number andexecution time tests have been performed in order to demonstrate theefficiency of our approach.