Fast discovery of association rules
Advances in knowledge discovery and data mining
Rough sets and association rule generation
Fundamenta Informaticae
Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Fundamenta Informaticae
Interactive Gene Clustering--A Case Study of Breast Cancer Microarray Data
Information Systems Frontiers
Association reducts: complexity and heuristics
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Association reducts: a framework for mining multi-attribute dependencies
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts
Transactions on Computational Science V
Association reducts: complexity and heuristics
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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We investigate association reducts, which extend previously studied information and decision reducts in capability of expressing compound, multi-attribute dependencies in data. We provide Boolean, discernibility-based representation for most informative association reducts