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