DocumentCode :
2217500
Title :
A new association rule mining algorithm and its application
Author :
Gao, Jun
Author_Institution :
Dept. of Comput. Sci., Shanghai Inst. of Technol., Shanghai, China
Volume :
5
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
This paper presents a new association rule mining algorithm called MFP. The MFP algorithm can convert a transaction database into an MFP_tree through scanning the database only once, and then do the mining of the tree. The MFP algorithm usually is more efficient than FP_growth. We used it for mining some formulas of synthetic perfume essence and obtained the success.
Keywords :
data mining; database management systems; transaction processing; trees (mathematics); MFP algorithm; MFP_tree; association rule mining algorithm; transaction database; Book reviews; Data mining; Formulas Mining; MFP algorithm; synthetic perfume essence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579104
Filename :
5579104
Link To Document :
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