Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Mining Weighted Association Rules for Fuzzy Quantitative Items
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fuzzy Association Rules: Semantic Issues and Quality Measures
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Efficient Automated Mining of Fuzzy Association Rules
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Discovering a cover set of ARsi with hierarchy from quantitative databases
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Dealing with uncertainty in data mining and information extraction
A fuzzy data mining algorithm for incremental mining of quantitative sequential patterns
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Mining multiple-level fuzzy blocks from multidimensional data
Fuzzy Sets and Systems
Mining fuzzy temporal patterns from process instances with weighted temporal graphs
International Journal of Data Analysis Techniques and Strategies
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
Journal of Intelligent Information Systems
Genetic algorithm based framework for mining fuzzy association rules
Fuzzy Sets and Systems
Discovering a cover set of ARsi with hierarchy from quantitative databases
Information Sciences: an International Journal
Mining association rules using fuzzy inference on web data
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Integrating fuzziness with OLAP association rules mining
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Mining direct and indirect weighted fuzzy association rules in large transaction databases
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Effect of similar behaving attributes in mining of fuzzy association rules in the large databases
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Fuzzy category and fuzzy interest for web user understanding
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
FARP: Mining fuzzy association rules from a probabilistic quantitative database
Information Sciences: an International Journal
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During the last ten years, data mining, also known as knowledge discovery in databases, has established its position as a prominent and important research area. Mining association rules is one of the important research problems in data mining. Many algorithms have been proposed to find association rules in databases with binary attributes. In this paper, we deal with the problem of mining association rules in databases containing both quantitative and categorical attributes. An example of such an association might be ``10% of married people between age 50 and 70 have at least 2 cars''''. We introduce a new definition of quantitative association rules based on fuzzy set theory. Using the fuzzy set concept, the discovered rules are more understandable to a human. Moreover, fuzzy sets handle numerical values better than existing methods because fuzzy sets soften the effect of sharp boundaries. The above example could be rephrased eg. 10% of married old people have several cars. In this paper we present a new algorithm for mining fuzzy quantitative association rules. The algorithm uses new definitions for interesting mea- sures. Experimental results show the efficiency of the algorithm for large databases.