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
Mining fuzzy association rules
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Mining fuzzy association rules in databases
ACM SIGMOD Record
CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th 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
A Fuzzy Approach for Mining Quantitative Association Rules
A Fuzzy Approach for Mining Quantitative Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Online mining of fuzzy multidimensional weighted association rules
Applied Intelligence
Mining fuzzy temporal patterns from process instances with weighted temporal graphs
International Journal of Data Analysis Techniques and Strategies
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
Journal of Intelligent Information Systems
Association rules applied to credit card fraud detection
Expert Systems with Applications: An International Journal
Autonomous classifiers with understandable rule using multi-objective genetic algorithms
Expert Systems with Applications: An International Journal
Genetic algorithm based framework for mining fuzzy association rules
Fuzzy Sets and Systems
A definition for fuzzy approximate dependencies
Fuzzy Sets and Systems
Integrating fuzziness with OLAP association rules mining
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
TOD: Temporal outlier detection by using quasi-functional temporal dependencies
Data & Knowledge Engineering
Proceedings of the 20th international conference companion on World wide web
Effective mining of fuzzy multi-cross-level weighted association rules
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Detection of fuzzy association rules by fuzzy transforms
Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms (2012)
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Mining association rules is one of the important research problems in data mining. So, many algorithms have been proposed to find association rules in databases with either binary or quantitative attributes. One of these approaches is fuzzy association rules mining. However, most of the earlier algorithms proposed for mining fuzzy association rules assume that fuzzy sets are given. In this paper, we propose an automated method for autonomous mining of both fuzzy sets and fuzzy association rules. For this purpose, we first find fuzzy sets by using an efficient clustering algorithm, namely CURE, and then determine their membership functions. Finally, we decide on interesting fuzzy association rules. Experimental results show the efficiency of the presented approach for synthetic transactions.