Mining fuzzy association rules
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Online association rule mining
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Mining Multiple-Level Association Rules in Large Databases
IEEE Transactions on Knowledge and Data Engineering
A New Approach to Online Generation of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Efficient Automated Mining of Fuzzy Association Rules
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
NetCube: A Scalable Tool for Fast Data Mining and Compression
Proceedings of the 27th International Conference on Very Large Data Bases
Mining Fuzzy Quantitative Association Rules
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Dynamic Mining of Quantitative and Categorical Attributes with Skewed Support Distribution
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
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This paper contributes to the ongoing research onmultidimensional online association rules mining byproposing a general architecture that utilizes a fuzzy datacube for knowledge discovery. Three different methods areintroduced to mine fuzzy association rules in the constructedfuzzy data cube, namely single dimension, multidimensionaland hybrid association rules mining. Experimental resultsobtained for each of the three methods on the adult data ofthe United States census in 2000 show their effectiveness andapplicability.