Title :
Pushing Fuzzy Constraints in Frequent Itemset Mining
Author :
Ren, Zhi-bo ; Zhang, Qiang
Author_Institution :
Dept. of Manage. & Econ., Beijing Inst. of Technol.
Abstract :
Human is the focus of knowledge discovery. The user can express his focus via constraints in mining. However, constraints specified by the user are often fuzzy. The paper proposes the notion of fuzzy constraints and develops techniques to introduce these fuzzy constraints into the Apriori algorithm for mining frequent itemsets. The experiment results show the effectiveness of the improved techniques
Keywords :
data mining; fuzzy set theory; transaction processing; Apriori algorithm; frequent itemset mining; fuzzy constraints; fuzzy sets; knowledge discovery; transaction database; Association rules; Conference management; Constraint theory; Cybernetics; Data mining; Fuzzy set theory; Fuzzy sets; Humans; Itemsets; Knowledge management; Machine learning; Technology management; Transaction databases; Frequent itemset mining; algorithm; constraint; fuzzy set; pruning;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258707
