DocumentCode
2563591
Title
Realization of a New Association Rule Mining Algorithm
Author
Gao, Jun
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
201
Lastpage
204
Abstract
Based on fully analyzing the PF_growth, an association rule mining algorithm, 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. Because the MFP algorithm scans a transaction database one time less than the FP_growth algorithm, the MFP algorithm is more efficient.
Keywords
Algorithm design and analysis; Association rules; Computational intelligence; Costs; Data mining; Data security; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2007 International Conference on
Conference_Location
Harbin, China
Print_ISBN
0-7695-3072-9
Electronic_ISBN
978-0-7695-3072-7
Type
conf
DOI
10.1109/CIS.2007.177
Filename
4415331
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