Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Mining fuzzy association rules in databases
ACM SIGMOD Record
An effective algorithm for mining interesting quantitative association rules
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A discussion of indices for the evaluation of fuzzy associations in relational databases
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
A note on quality measures for fuzzy association rules
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
On discovery of soft associations with "most" fuzzy quantifier for item promotion applications
Information Sciences: an International Journal
Refinement of temporal constraints in fuzzy associations
International Journal of Approximate Reasoning
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Applied Soft Computing
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Fuzzy Sets and Systems
Fuzzy sets in machine learning and data mining
Applied Soft Computing
A formal model for mining fuzzy rules using the RL representation theory
Information Sciences: an International Journal
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Mining linguistic associations for emergent flood prediction adjustment
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
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This paper examines the measurement of the degree to which tuples in a database support a relation among attributes based on a comparison of the number of examples and counterexamples of the relation. In particular, we are concerned with associations that represent imprecise constraints placed upon the value of one attribute by those of other attributes. Associations of this form may be described by fuzzy rules and the analysis requires an assessment of the degree to which a tuple satisfies the imprecise constraint specified by the rule. Standard measures of rule validity are extended to fuzzy associations based on the degree that the tuples are examples, counterexamples, or irrelevant to imprecise relations. A scaling of the relevance of a tuple is proposed to minimize the impact of the accumulation of small membership values on the confidence-based validity measures.