DocumentCode
3123976
Title
Upper-bound multiple fuzzy frequent-pattern trees
Author
Hong, Tzung-Pei ; Lin, Chun-Wei ; Lin, Tsung-Ching ; Pan, Shing-Tai
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2011
fDate
27-30 June 2011
Firstpage
218
Lastpage
222
Abstract
In this paper, a novel two-phase fuzzy mining approach based on the designed upper-bound multiple fuzzy frequent-pattern (UBMFFP) tree is proposed to obtain all fuzzy frequent itemsets from a quantitative database. It prunes unpromising itemsets in the first phase, and then finds the actual fuzzy frequent itemsets in the second phase. Experimental results indicate that the proposed approach has better performance than some previous ones.
Keywords
data mining; fuzzy set theory; trees (mathematics); UBMFFP tree; fuzzy frequent itemset; quantitative database; two-phase fuzzy mining; upper-bound multiple fuzzy frequent-pattern trees; Algorithm design and analysis; Association rules; Conferences; Fuzzy sets; Itemsets; FP tree; fuzzy data mining; fuzzy frequent itemsets; fuzzy set; two-phase mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007678
Filename
6007678
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