Constructing membership functions using statistical data
Fuzzy Sets and Systems
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Fuzzy implication operators and generalized fuzzy method of cases
Fuzzy Sets and Systems
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Association rules over interval data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Mining fuzzy association rules
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
An effective algorithm for mining interesting quantitative association rules
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Data mining: concepts and techniques
Data mining: concepts and techniques
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Fuzzy summaries in database mining
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Mining Fuzzy Quantitative Association Rules
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Mining Association Rules with Weighted Items
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
A Fuzzy Approach for Mining Quantitative Association Rules
A Fuzzy Approach for Mining Quantitative Association Rules
Mining Weighted Association Rules for Fuzzy Quantitative Items
Mining Weighted Association Rules for Fuzzy Quantitative Items
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Genetic algorithm based framework for mining fuzzy association rules
Fuzzy Sets and Systems
Mining fuzzy association rules in a bank-account database
IEEE Transactions on Fuzzy Systems
Improving nearest neighbor classification by elimination of noisy irrelevant features
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Association rule mining is an active data mining research area. Recent years have witnessed many efforts on discovering fuzzy associations. The key strength of fuzzy association rule mining is its completeness. This strength, however, comes with a major drawback. It often produces a huge number of fuzzy associations. This is particularly true for datasets whose attributes are highly correlated. The huge number of fuzzy associations makes it very difficult for a human user to analyze them. Existing research has shown that most of the discovered rules are actually redundant or insignificant. In this paper, we propose a novel technique to overcome this problem.The approach is effective because experiment results show that the set of produced rules is typically very small. Our solution also reduces the size of average transactions and dataset. Our performance study shows that this solution has a superior performance over the other algorithms.