Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Mining fuzzy association rules in databases
ACM SIGMOD Record
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Learning fuzzy rules with their implication operators
Data & Knowledge Engineering
Fuzzy Sets and Systems
Fuzzy correlation rules mining
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Refinement of temporal constraints in fuzzy associations
International Journal of Approximate Reasoning
Perception-based approach to time series data mining
Applied Soft Computing
Mining multiple-level fuzzy blocks from multidimensional data
Fuzzy Sets and Systems
Association rules applied to credit card fraud detection
Expert Systems with Applications: An International Journal
The information content of fuzzy relations and fuzzy rules
Computers & Mathematics with Applications
A fuzzy statistics based method for mining fuzzy correlation rules
WSEAS Transactions on Mathematics
Visualizing and fuzzy filtering for discovering temporal trajectories of association rules
Journal of Computer and System Sciences
Elicitation of fuzzy association rules from positive and negative examples
Fuzzy Sets and Systems
A definition for fuzzy approximate dependencies
Fuzzy Sets and Systems
Examples, counterexamples, and measuring fuzzy associations
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
Fuzzy machine learning and data mininga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
FAR-miner: a fast and efficient algorithm for fuzzy association rule mining
International Journal of Business Intelligence and Data Mining
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Several approaches generalizing association rules to fuzzy association rules have been proposed so far. While the formal specification of fuzzy associations is more or less straightforward, the evaluation of such rules by means of appropriate quality measures assumes an understanding of the semantic meaning of a fuzzy rule. In this respect, most existing proposals can be considered ad-hoc to some extent. In this paper, we suggest a theoretical basis of fuzzy association rules by generalizing the classification of the data stored in a database into positive, negative, and irrelevant examples of a rule.